System Design Description (SyDD) — ISO/IEC/IEEE 15289 — Description | IEEE 29148 §6.5
Generated 2026-03-27 — UHT Journal / universalhex.org
flowchart TB n0["system<br>Automated Warehouse"] n1["subsystem<br>Warehouse Management System"] n2["subsystem<br>Automated Storage and Retrieval System"] n3["subsystem<br>Autonomous Mobile Robot Fleet"] n4["subsystem<br>Material Handling Conveyor System"] n5["subsystem<br>Robotic Picking System"] n6["subsystem<br>Goods Receiving System"] n7["subsystem<br>Packing and Dispatch System"] n8["subsystem<br>Building Management and Safety System"] n0 -->|contains| n1 n1 -->|Storage/retrieval tasks| n2 n1 -->|Transport tasks| n3 n1 -->|Routing decisions| n4 n2 -->|Totes/pallets at I/O| n4 n3 -->|Source totes| n5 n4 -->|Order totes| n5 n6 -->|Inducted goods| n2 n4 -->|Picked orders| n7 n8 -->|E-stop, power| n2 n8 -->|Safety zones, E-stop| n3
Automated Warehouse — Decomposition
| Ref | Requirement | V&V | Tags |
|---|---|---|---|
| SUB-REQS-001 | Each Mini-Load Stacker Crane SHALL achieve a minimum of 200 dual-command cycles per hour under normal operating conditions with tote masses up to 50 kg. Rationale: 200 dual-command cycles/hr per crane across 6 aisles provides the 1,200 cycles/hr AS/RS throughput needed to sustain 50,000 order lines/hr (STK-NEEDS-001). Dual-command cycles maximize crane utilization by combining a storage and retrieval in one travel. The 50kg tote mass covers the heaviest SKU mixes in the active catalogue. | Test | subsystem, asrs, session-243 |
| SUB-REQS-002 | The Mini-Load Stacker Crane SHALL achieve horizontal travel speed of at least 4 m/s and vertical hoist speed of at least 2 m/s with acceleration of at least 2 m/s2 on both axes. Rationale: 4 m/s horizontal and 2 m/s vertical speeds with 2 m/s2 acceleration are derived from the 200 cycles/hr target given 30m aisle length and 12m racking height. Below these speeds, the crane cannot complete the dual-command cycle within the 18-second window needed for rated throughput. | Test | subsystem, asrs, session-243 |
| SUB-REQS-003 | The High-Density Storage Racking SHALL provide a minimum of 120,000 tote storage positions across 6 aisles, each position accommodating a 600 mm x 400 mm tote at a mass of up to 75 kg including racking self-weight per position. Rationale: 120,000 positions across 6 aisles provides approximately 3 days of peak throughput buffer at 50,000 lines/hr, allowing surge absorption and seasonal pre-positioning. The 600x400mm tote standard matches Euro-pallet subdivision and existing conveyor widths. 75kg total load includes 50kg payload plus tote and racking hardware. | Inspection | subsystem, asrs, session-243 |
| SUB-REQS-004 | The Crane Position Sensing System SHALL provide absolute position accuracy of 2 mm or better on horizontal and vertical axes at all speeds up to rated maximum. Rationale: 2mm absolute position accuracy ensures the telescoping fork engages the correct tote slot without risk of double-deep collisions or rack damage. At 4 m/s travel speed, encoder-based positioning must maintain this accuracy to avoid cumulative drift requiring costly re-homing cycles. | Test | subsystem, asrs, session-243 |
| SUB-REQS-005 | The Telescoping Fork Load Handler SHALL complete a full extension-insert-retract cycle in no more than 3 seconds for single-deep access on either side of the aisle. Rationale: A 3-second full extension-retract cycle is the limiting factor in dual-command cycle time. Slower fork operation would reduce crane throughput below the 200 cycles/hr target. Single-deep access on both sides of the aisle is required for the high-density racking layout selected in ARC-DECISIONS-002. | Test | subsystem, asrs, session-243 |
| SUB-REQS-006 | The AS/RS Control System SHALL calculate and issue optimal crane movement commands within 100 ms of receiving a storage or retrieval request from the Warehouse Management System. Rationale: 100ms command calculation latency ensures the crane control loop does not become the throughput bottleneck. The AS/RS controller must factor in crane position, target slot, dual-command pairing, and zone priority in real-time. Exceeding 100ms would force the crane to decelerate or dwell, reducing effective cycle rate. | Test | subsystem, asrs, session-243 |
| SUB-REQS-007 | Each Mini-Load Stacker Crane SHALL achieve a mean time between failures of at least 5,000 operating hours, where failure is defined as any event preventing the crane from executing storage or retrieval commands. Rationale: 5,000 hours MTBF per crane translates to approximately one failure per 7 months of 24/7 operation. With 6 cranes, the expected system-level failure rate is approximately one crane failure per month, manageable with N-1 throughput planning and scheduled maintenance windows. | Analysis | subsystem, asrs, session-243 |
| SUB-REQS-008 | While operating in chilled storage zones at temperatures between 2C and 8C, the Mini-Load Stacker Crane SHALL maintain rated throughput of 200 dual-command cycles per hour without degradation from condensation, lubrication viscosity, or sensor accuracy. Rationale: Chilled storage zones at 2-8C cause condensation on cold metal surfaces during dock door openings. Without specification of rated throughput in chilled conditions, crane performance could degrade due to ice buildup on rails, encoder fogging, or lubricant viscosity changes. This requirement ensures cold-chain throughput matches ambient throughput. | Test | subsystem, asrs, session-243 |
| SUB-REQS-009 | The AS/RS I/O Conveyor Station SHALL verify tote identity via barcode scan at both inbound and outbound transfer points with a read success rate of at least 99.99%. Rationale: Tote identity verification at both inbound and outbound transfer points provides inventory position accuracy assurance. A 99.99% read rate means fewer than 1 missed scan per 10,000 transfers, preventing misplaced stock that would cascade into pick accuracy failures downstream. Barcode is the primary medium for compatibility with existing tote fleet. | Test | subsystem, asrs, session-243 |
| SUB-REQS-010 | The Fleet Management Server SHALL dispatch transport orders to the AMR fleet with a mean dispatch latency of no more than 15 seconds from order receipt to robot assignment confirmation. Rationale: 15-second dispatch latency from order receipt to robot assignment ensures AMRs are en route before the next AS/RS retrieval cycle completes. Longer dispatch latency causes retrieved totes to queue at AS/RS outfeed stations, blocking crane operations and degrading system throughput below the 50,000 lines/hr target. | Test | subsystem, amr-fleet, session-244, superseded-by-SUB-REQS-011 |
| SUB-REQS-011 | The Fleet Management Server SHALL dispatch transport orders to the AMR fleet with a mean dispatch latency of no more than 15 seconds from order receipt to robot assignment confirmation. Rationale: 15-second dispatch target balances order throughput against global path optimization compute time; tighter targets force greedy local assignment that degrades fleet utilization below 70 percent. | Test | subsystem, amr-fleet, session-244, duplicate-of-SUB-REQS-010 |
| SUB-REQS-012 | The Navigation and Localization System SHALL achieve a position repeatability of plus or minus 20 mm and heading repeatability of plus or minus 1 degree at all locations within the mapped warehouse floor under normal operating conditions. Rationale: Plus or minus 20mm repeatability is the minimum for reliable rack-slot alignment in standard 600mm-wide tote storage; exceeding this causes tote interference at handoff stations, increasing jam rate beyond 0.1 percent per 1000 operations. | Test | subsystem, amr-fleet, session-244 |
| SUB-REQS-013 | When a person or obstacle is detected within the 1.0 m protective zone, the Safety and Collision Avoidance System SHALL bring the AMR to a complete stop within 200 ms and maintain safe torque off on drive motors until the zone is clear for a minimum of 2 seconds. Rationale: 200ms STO response at 2.0 m/s max speed yields 400mm stopping distance, which combined with 1.0m detection zone provides the minimum 600mm safety margin required by ISO 3691-4 for personnel-shared warehouse environments. | Test | subsystem, amr-fleet, safety, session-244 |
| SUB-REQS-014 | The AMR Vehicle Platform SHALL achieve a maximum loaded travel speed of 2.0 m/s while carrying payloads up to 600 kg on polished concrete warehouse floors with a gradient of no more than 2 percent. Rationale: 2.0 m/s loaded speed on polished concrete with 600kg payload matches standard warehouse AMR platform specs; the 2 percent gradient limit reflects typical mezzanine ramp specifications in multi-level warehouse designs. | Test | subsystem, amr-fleet, session-244 |
| SUB-REQS-015 | The Battery Management and Charging System SHALL maintain a minimum of 85 percent of the AMR fleet available for transport tasks at all times during operational hours by coordinating opportunity charging to achieve 20 to 80 percent state of charge in no more than 45 minutes per vehicle. Rationale: 85 percent availability means a fleet of 80 AMRs maintains 68 operational units, the minimum to sustain 400 transport tasks per hour at peak; below this threshold, order processing queues exceed the 120-second wave generation target. | Test | subsystem, amr-fleet, session-244 |
| SUB-REQS-016 | The Payload Handling Mechanism SHALL complete a tote load or unload transfer cycle in no more than 3 seconds for totes weighing up to 35 kg, measured from initiation of roller drive to tote presence confirmation at the destination position. Rationale: 3-second load/unload cycle is the throughput-critical path at conveyor handoff stations. At 400 transfers per hour per station, cycle time must not exceed 9 seconds, leaving 6 seconds for AMR positioning and confirmation. 35kg covers the 99th percentile tote weight in mixed-SKU e-commerce fulfillment. | Test | subsystem, amr-fleet, session-244 |
| SUB-REQS-017 | The Wireless Communication Infrastructure SHALL provide a round-trip latency of no more than 10 ms between each AMR and the Fleet Management Server for 99.9 percent of messages during peak fleet operation of 80 simultaneous robots. Rationale: 10ms round-trip latency supports the 10 Hz pose update rate with less than one update period of network delay. At 99.9 percent, a fleet of 80 AMRs experiences at most one degraded message per 12.5 seconds of fleet operation, preventing compounding navigation errors during coordinated multi-robot corridor traversals. | Test | subsystem, amr-fleet, session-244 |
| SUB-REQS-018 | The Fleet Management Server SHALL compute conflict-free paths for all active AMRs using reservation-based coordination, ensuring zero planned path collisions and re-planning any affected robot within 500 ms when an unexpected obstacle blocks a planned route segment. Rationale: Reservation-based coordination is the proven approach for multi-AGV systems. 500ms replanning window ensures deadlock recovery before downstream tasks accumulate. At 2.0 m/s, an AMR travels 1.0m in 500ms, limiting the spatial impact of any single conflict event. | Test | subsystem, amr-fleet, session-244 |
| SUB-REQS-019 | While the Safety and Collision Avoidance System detects objects in the 2.5 m warning zone, the AMR SHALL reduce travel speed to no more than 0.5 m/s and resume full speed only after the warning zone has been clear for at least 1 second. Rationale: 0.5 m/s in the 2.5m warning zone provides 5 seconds of approach time before reaching the 1.0m protective zone, giving the safety system sufficient time to verify obstacle persistence versus transient sensor noise while maintaining throughput. Derived from ISO 3691-4 Annex B guidance on speed reduction zones. | Test | subsystem, amr-fleet, safety, session-244 |
| SUB-REQS-020 | The Order Processing Engine SHALL generate pick waves within 120 seconds of order batch closure, processing a minimum of 500 order lines per wave at peak throughput of 50,000 lines per hour. Rationale: 120-second wave generation must fit within the 3-minute pick cycle cadence used by downstream task allocation. 50000 lines per hour derives from the system-level throughput requirement allocated to the WMS order processing pipeline. | Test | subsystem, wms, session-245 |
| SUB-REQS-021 | The Inventory Database and Location Engine SHALL respond to single-location stock queries within 50 milliseconds and batch reservation requests (up to 200 SKU-location pairs) within 500 milliseconds at the 99th percentile under concurrent load from all WMS modules. Rationale: 50ms single-location query supports real-time dashboard refresh at 1-second intervals across 20 concurrent workstations. 500ms batch reservation prevents wave generation blocking at 120-second wave cycles with up to 200 SKU reservations per wave. | Test | subsystem, wms, session-245 |
| SUB-REQS-022 | The Inventory Database and Location Engine SHALL maintain real-time location accuracy of at least 99.97% by reconciling barcode/RFID scan events at each transfer point within 2 seconds of receipt and flagging discrepancies for immediate investigation. Rationale: 99.97 percent location accuracy means fewer than 3 mislocated items per 10000 inventory positions, the threshold below which manual cycle counts become economically prohibitive. 2-second reconciliation prevents stale location data from causing double-dispatch of the same stock to different pick tasks. | Test | subsystem, wms, session-245 |
| SUB-REQS-023 | The Inventory Database and Location Engine SHALL reject any putaway assignment that would co-locate incompatible hazardous materials within the same storage zone, evaluating the configurable ADR-aligned compatibility matrix in under 10 milliseconds per assignment. Rationale: Regulatory compliance with ADR/IMDG segregation tables is a legal obligation for warehouses handling mixed inventory including batteries, chemicals, or aerosols. Automated enforcement prevents human-error-driven co-location that has caused warehouse fires in documented incidents. | Test | subsystem, wms, session-245 |
| SUB-REQS-024 | The Task Allocation and Dispatch Engine SHALL assign generated tasks to an available execution resource (AMR, AS/RS crane, or human operator) within 5 seconds of task creation, considering current resource load, proximity, and task priority. Rationale: 5-second assignment window synchronizes with the AMR Fleet dispatch cycle of 15 seconds. Tasks must be assigned to a resource type before the fleet management servers next dispatch batch; delay beyond 5 seconds causes task starvation in the pick wave pipeline. | Test | subsystem, wms, session-245 |
| SUB-REQS-025 | When a dispatched task is not acknowledged by the assigned resource within 30 seconds, the Task Allocation and Dispatch Engine SHALL automatically re-dispatch the task to an alternative resource and log the exception with the original assignment details. Rationale: 30-second acknowledgment timeout accommodates worst-case AMR communication recovery plus task queue processing. Automatic re-dispatch prevents single-point-of-failure when an AMR enters a communication shadow zone or undergoes emergency stop, avoiding blocked downstream order fulfillment. | Test | subsystem, wms, session-245 |
| SUB-REQS-026 | The ERP and External Integration Gateway SHALL guarantee at-least-once delivery for all inbound and outbound messages, persisting each message to durable storage before acknowledgment, and retrying failed deliveries with exponential backoff up to 24 hours before routing to a dead-letter queue. Rationale: Order loss between ERP and warehouse is a direct revenue impact. At-least-once semantics with durable persistence ensures no inbound purchase order or outbound shipment confirmation is lost during network partitions or gateway restarts during scheduled weekly maintenance windows. | Test | subsystem, wms, session-245 |
| SUB-REQS-027 | The ERP and External Integration Gateway SHALL process a sustained throughput of 1,000 inbound messages per minute with transformation latency not exceeding 200 milliseconds per message at the 95th percentile. Rationale: 1000 messages per minute matches peak ERP order injection rate for a facility handling 50000-plus lines per hour across multiple sales channels. 200ms p95 transformation latency ensures the gateway does not become the bottleneck since ERP systems typically expect acknowledgment within 500ms. | Test | subsystem, wms, session-245 |
| SUB-REQS-028 | The Real-time Dashboard and Reporting Server SHALL detect throughput or equipment threshold breaches within 15 seconds of the triggering event and dispatch alerts via email and SMS to configured recipients within 30 seconds of detection. Rationale: 15-second detection latency balances real-time visibility against false-alarm suppression, requiring 3 consecutive threshold violations at 5-second sampling interval. Dual-channel notification via email and SMS ensures operations staff receive alerts even during lights-out shift periods when not monitoring the dashboard. | Test | subsystem, wms, session-245 |
| SUB-REQS-029 | The Zone Conveyor Segments SHALL transport totes weighing up to 35 kg at speeds between 0.5 and 2.0 metres per second with zero-pressure accumulation preventing tote-to-tote contact forces exceeding 5 N during queue conditions. Rationale: Derives from SYS-REQS throughput requirements. The specific capacity and speed values ensure the conveyor network does not become a bottleneck between AS/RS retrieval and pick station delivery. Zone-based speed control allows accumulation without back-pressure that would stall upstream equipment. | Test | subsystem, conveyor, session-246 |
| SUB-REQS-030 | The Merge and Divert Units SHALL achieve a sort accuracy of at least 99.95 percent across all divert points at conveyor speeds up to 1.5 metres per second, with missorted totes automatically recirculated to the upstream scanning station within 60 seconds. Rationale: 99.95% sort accuracy at merge/divert points is critical because missorted totes cause pick station starvation and order delays. Automatic recirculation of missorted totes prevents them from entering wrong pick cells. The 1.5 m/s speed matches the rated conveyor trunk speed. | Test | subsystem, conveyor, session-246 |
| SUB-REQS-031 | The Conveyor PLC Control Network SHALL propagate emergency stop signals to all conveyor segments within 100 milliseconds of activation at any e-stop station, and SHALL resume zone-by-zone operation only after manual reset and PLC confirmation of clear zones. Rationale: 100ms e-stop propagation across all conveyor segments is derived from machinery safety standards (EN 13849-1). Longer propagation times could allow a tote to travel 150mm or more past the activation point, creating entrapment or collision hazards. Zone-by-zone controlled restart prevents surge current and ensures safety interlocks are verified per segment. | Test | subsystem, conveyor, safety, session-246 |
| SUB-REQS-032 | The Barcode and RFID Scanning Stations SHALL achieve a first-read rate of at least 99.99 percent for standard GS1-128 barcodes on totes moving at conveyor speed up to 2.0 metres per second, with RFID fallback identification completing within 200 milliseconds when barcode read fails. Rationale: 99.99% first-read rate at 2.0 m/s conveyor speed ensures tote tracking continuity. A failed read requires the tote to recirculate, consuming conveyor capacity. GS1-128 is the primary barcode standard for logistics totes; RFID provides backup for damaged labels. EPC Gen2 UHF at 2.0 m/s is achievable with current fixed-mount readers. | Test | subsystem, conveyor, session-246 |
| SUB-REQS-033 | Each Vertical Reciprocating Conveyor SHALL complete a full lift cycle in no more than 6 seconds for a vertical travel distance of 4.5 metres while carrying a tote weighing up to 35 kg, with safety interlocking per EN 81-31 ensuring load/unload openings are guarded by light curtains during platform travel. Rationale: 6-second lift cycle time for 4.5m vertical travel is the minimum needed to prevent the VRC from becoming a throughput bottleneck between mezzanine pick levels and ground-level dispatch. At 35kg per tote, the lift motor and safety gear must be rated for continuous duty at this cycle rate across a 20-hour operating day. | Test | subsystem, conveyor, safety, session-246 |
| SUB-REQS-034 | The Vision and Item Recognition System SHALL identify and classify items with a recognition confidence score of at least 95% for 99.5% of SKUs in the active catalogue, processing each source tote image within 150 milliseconds. Rationale: 95% confidence at 99.5% SKU coverage ensures the vision system can handle the full active catalogue with minimal manual intervention. Items below 85% confidence are diverted to manual pick, so the 95% threshold balances automation rate against pick error risk. Each item must be processed within the pick cycle time budget. | Test | subsystem, robotic-picking, vision, session-247 |
| SUB-REQS-035 | The Vision and Item Recognition System SHALL identify and classify items with a recognition confidence score of at least 95% for 99.5% of SKUs in the active catalogue, processing each source tote image within 150 milliseconds. Rationale: Duplicate of SUB-REQS-034 created during decomposition. Retained for traceability. See SUB-REQS-034 for engineering justification. | Test | subsystem, robotic-picking, session-246, duplicate-of-SUB-REQS-034 |
| SUB-REQS-036 | The Robotic Pick Arm SHALL execute a minimum of 900 pick-and-place cycles per hour with items ranging from 5g to 5kg, maintaining positional accuracy of 1mm at the place location. Rationale: 900 picks/hr per arm across multiple pick cells provides the aggregate picking throughput needed for 50,000 lines/hr. The 5g-5kg range covers the full SKU weight spectrum from small electronics to heavy bottles. 1mm place accuracy prevents item damage and ensures correct positioning in the outbound tote for downstream packing. | Test | subsystem, robotic-picking, arm, session-247 |
| SUB-REQS-037 | The End-Effector and Gripper System SHALL achieve a first-attempt grasp success rate of at least 98% across the full SKU range, with automatic retry achieving 99.9% cumulative grasp success within two attempts. Rationale: 98% first-attempt grasp success is needed to maintain the 900 picks/hr target — each retry adds 2-3 seconds. 99.9% cumulative grasp success after retries ensures fewer than 1 in 1,000 items requires manual intervention, keeping exception handling staff requirements low. | Test | subsystem, robotic-picking, gripper, session-247 |
| SUB-REQS-038 | The End-Effector and Gripper System SHALL switch between vacuum suction and mechanical grasp modes in less than 500 milliseconds, with the Pick Planning and Optimization Module selecting the appropriate mode based on item geometry and surface properties. Rationale: 500ms mode switch between vacuum and mechanical grasp is within the pick cycle time budget. The Pick Planning Module pre-selects the optimal grasp strategy based on vision system item classification — rigid items use mechanical grasp, deformable or flat items use vacuum suction. This dual-mode approach covers the full SKU geometry range. | Test | subsystem, robotic-picking, gripper, session-247 |
| SUB-REQS-039 | When an emergency stop is activated or a safety light curtain breach is detected, the Pick Cell Safety Enclosure SHALL issue a Safe Torque Off command to the Robotic Pick Arm drives within 50 milliseconds, bringing all arm motion to a stop within 150 milliseconds of the triggering event. Rationale: Safe Torque Off within 100ms of e-stop or light curtain breach is required by ISO 10218-2 for collaborative robot cells. STO removes motor torque without requiring full power-down, allowing faster restart after safety event clearance. The light curtain breach triggers the same response as a manual e-stop per the safety system architecture. | Test | subsystem, robotic-picking, safety, session-247 |
| SUB-REQS-040 | The Pick Planning and Optimization Module SHALL compute an optimized pick sequence for a batch of up to 20 items within 200 milliseconds, minimizing total arm travel distance while respecting item fragility constraints and destination tote packing order. Rationale: 200ms path optimization for 20-item batches keeps the pick planning overhead within the conveyor tote transit time. Minimizing arm travel distance directly increases effective picks/hr. Fragile and orientation-sensitive items require explicit constraint handling to prevent damage or placement errors in the outbound tote. | Test | subsystem, robotic-picking, planning, session-247 |
| SUB-REQS-041 | The Vision and Item Recognition System SHALL measure item depth and surface geometry with an accuracy of 0.5mm RMS at a working distance of 400mm to 800mm, using structured-light 3D imaging updated at a minimum of 10 frames per second. Rationale: 0.5mm RMS depth accuracy at 400-800mm working distance is needed for the pick arm to compute approach vectors and grasp points for items of varying height. Structured-light 3D scanning provides the depth resolution needed for items that 2D vision cannot reliably characterize, especially reflective or transparent packaging. | Test | subsystem, robotic-picking, vision, session-247 |
| SUB-REQS-042 | When the Vision and Item Recognition System returns a confidence score below 85% for an item, the Pick Planning and Optimization Module SHALL divert that item to a manual pick exception station within 10 seconds, logging the SKU image and failure reason for model retraining. Rationale: Items with less than 85% recognition confidence have unacceptable misidentification risk. Routing them to manual pick exception stations prevents pick errors that would affect order accuracy (STK-NEEDS-005). The 85% threshold was chosen to balance automation rate against the order accuracy target of 99.9%. | Demonstration | subsystem, robotic-picking, exception, session-247 |
| SUB-REQS-043 | When a single pick cell is taken offline for maintenance or fault, the Pick Planning and Optimization Module SHALL redistribute that cell's pick workload across remaining operational cells, maintaining at least 85% of total pick station throughput with no more than 2 cells offline simultaneously. Rationale: N-1 cell availability prevents single-point-of-failure for picking throughput. Redistributing workload with less than 5% throughput impact requires pre-computed load balancing across remaining cells. Without this, a single cell failure could cascade into order fulfillment delays during peak periods. | Test | subsystem, robotic-picking, degraded, session-247 |
| SUB-REQS-044 | The Robotic Pick Arm SHALL achieve a mean time between failures of at least 8,000 hours, where failure is defined as any event requiring the cell to be taken offline for repair. Rationale: 8,000 hours MTBF for the robotic pick arm is derived from the 99.5% system availability target (STK-NEEDS-002). With multiple pick cells, individual cell reliability must be high enough that concurrent cell failures remain statistically rare. 8,000 hours equates to approximately 11 months of 24/7 operation. | Analysis | subsystem, robotic-picking, reliability, session-247 |
| SUB-REQS-045 | The Fire Detection and Suppression System SHALL detect smoke, heat, or flame in any monitored zone and initiate suppression agent discharge within 60 seconds for sprinkler zones and within 10 seconds for clean-agent zones. Rationale: 60 seconds to detection and suppression initiation for sprinkler zones and 10 seconds for clean agent zones reflects the fire load differences. Clean agent zones (server rooms, electrical cabinets) have rapid fire propagation risk and house equipment that water would destroy. The detection-to-discharge time is derived from FM Global loss prevention guidelines. | Test | subsystem, bms, session-248 |
| SUB-REQS-046 | The Fire Detection and Suppression System SHALL employ zone-specific suppression strategies: pre-action sprinkler in ambient storage zones, FM-200 or Novec 1230 clean agent in server rooms and control cabinets, and CO2 flooding in battery charging areas. Rationale: Zone-specific suppression prevents water damage to electronics in server rooms and maintains fire control effectiveness in chilled zones where standard sprinklers may have delayed activation. FM-200/Novec 1230 clean agents protect IT and control equipment without residue. Pre-action sprinklers in ambient zones prevent false discharge from accidental head damage. | Inspection | subsystem, bms, session-248 |
| SUB-REQS-047 | The HVAC and Environmental Monitoring System SHALL maintain chilled storage zones at +2°C to +8°C with temperature stability of ±1°C under all operating conditions including dock door cycling. Rationale: Cold-chain integrity (STK-NEEDS-007) requires continuous 2-8C maintenance. Temperature stability of plus or minus 1C ensures pharmaceutical and food products remain within regulatory limits. Dock door openings and high AS/RS activity generate significant thermal loads that must be compensated without temperature excursions. | Test | subsystem, bms, session-248 |
| SUB-REQS-048 | The HVAC and Environmental Monitoring System SHALL provide a minimum of 6 air changes per hour in battery charging areas and continuously monitor hydrogen gas concentration, triggering forced ventilation boost at 25% of the lower explosive limit (1% H2 by volume). Rationale: Battery charging areas generate hydrogen gas during equalisation charging. 6 air changes/hr and hydrogen monitoring at 25% LEL alarm threshold are required by NFPA 30A and local fire codes for indoor battery charging facilities. Exceeding 25% LEL without ventilation response risks explosive atmosphere formation. | Test | subsystem, bms, session-248 |
| SUB-REQS-049 | The Emergency Shutdown and Evacuation System SHALL halt all automated equipment in the affected zone within 500 milliseconds of E-stop activation while maintaining fire suppression, emergency lighting, and PA systems in operational state. Rationale: 500ms zone halt time is derived from machinery safety standards (EN 13849-1 PLd) for the maximum travel distance of automated equipment after e-stop. Fire suppression and evacuation systems must remain powered and operational during e-stop to maintain life safety functions independently of production equipment state. | Test | subsystem, bms, session-248 |
| SUB-REQS-050 | The Access Control and Intrusion Detection System SHALL enforce zone-based access policies requiring maintenance lockout confirmation before permitting personnel entry to AMR operating areas, with a maximum door-unlock response time of 2 seconds from valid credential presentation. Rationale: Maintenance lockout confirmation before personnel entry to automated zones prevents human-robot interaction incidents (STK-NEEDS-003). Zone-based access policies ensure only trained personnel enter hazardous areas, and lockout-tagout is enforced electronically to prevent bypassing of safety interlocks. | Test | subsystem, bms, session-248 |
| SUB-REQS-051 | The Building Management Controller SHALL collect and process data from a minimum of 500 field devices with a scan cycle of 1 second for safety-critical alarms and 30 seconds for environmental monitoring points, with automatic failover to a redundant server within 5 seconds. Rationale: 500 field devices at 1-second scan for safety alarms ensures fire detection and e-stop signals are processed within the response time budget. 30-second scan for environmental monitoring is adequate for slowly-changing HVAC and energy parameters. The BMS controller acts as the central integration point for all building services. | Test | subsystem, bms, session-248 |
| SUB-REQS-052 | The Lighting Control System SHALL provide 300 lux minimum illumination at pick station and packing work surfaces per EN 12464-1, and SHALL reduce energy consumption in unoccupied storage aisles by a minimum of 60% through occupancy-based dimming. Rationale: 300 lux at work surfaces is mandated by EN 12464-1 for manual packing and inspection tasks. Automatic dimming to 50 lux in unoccupied zones directly supports the 0.15 kWh/line energy target (STK-NEEDS-010). LED lighting provides the instant-on capability needed for occupancy-responsive control. | Test | subsystem, bms, session-248 |
| SUB-REQS-053 | The Emergency Shutdown and Evacuation System SHALL provide PA voice alarm coverage across all warehouse zones with minimum 75 dBA at any point, automatically triggered on confirmed fire alarm within 3 seconds of detection confirmation. Rationale: 75 dBA PA coverage at any point ensures evacuation announcements are audible above ambient warehouse noise levels of 65-70 dBA. Automatic triggering on confirmed fire alarm removes human delay from the evacuation timeline. Strobe beacons provide visual notification in high-noise areas where audio alone may be insufficient. | Test | subsystem, bms, session-248 |
| SUB-REQS-054 | The Automated Packing Station SHALL select and erect the optimal carton from 6 standard formats based on item dimensions, pack items with void fill, and seal the carton within 15 seconds for single-item orders and 45 seconds for multi-item orders. Rationale: 15-second pack cycle across 6 carton formats maintains packing throughput aligned with upstream picking rate. Automatic carton selection based on item dimensions minimizes void fill material and shipping volume, reducing per-order shipping cost. Inline verification prevents packing errors from propagating to dispatch. | Test | subsystem, packing, session-248 |
| SUB-REQS-055 | The Shipping Label and Documentation Printer SHALL print carrier-compliant shipping labels at 200mm/s with inline barcode verification achieving 100% scan-rate confirmation before carton proceeds to downstream processes. Rationale: 200mm/s print speed with inline barcode verification ensures label quality does not become a dispatch bottleneck. 100% scan-rate confirmation prevents unreadable labels from reaching carriers, which would cause delivery failures and customer returns. Carrier-compliant formats are contractually required for automated sortation at carrier hubs. | Test | subsystem, packing, session-248 |
| SUB-REQS-056 | The Weight and Dimension Verification Station SHALL measure carton weight to ±5g accuracy and dimensions to ±5mm accuracy at full conveyor speed of 1.5 m/s, flagging cartons that deviate from expected values by more than ±50g weight or ±10mm dimension tolerance. Rationale: Weight and dimension verification at conveyor speed (1.5 m/s) catches packing errors without creating a stop-and-measure bottleneck. 5g weight accuracy detects missing items. 5mm dimension accuracy ensures cartons fit within carrier-specified maximum dimensions. Deviations beyond 2% of declared values trigger carrier surcharges and customs holds. | Test | subsystem, packing, session-248 |
| SUB-REQS-057 | The Outbound Sortation System SHALL sort a minimum of 4,000 cartons per hour across 12 shipping lanes with a maximum missort rate of 0.01% and no more than 2 recirculations per carton before divert to manual handling. Rationale: 4,000 cartons/hr across 12 lanes matches the expected peak dispatch rate from the packing stations. 0.01% maximum missort rate prevents orders from being loaded onto wrong trailers. Maximum 2 recirculations per carton limits the impact of sort rejects on system capacity. | Test | subsystem, packing, session-248 |
| SUB-REQS-058 | The Dispatch Dock Management System SHALL complete trailer loading within 45 minutes per dock door, manage dock-to-lane assignment for 8 outbound dock doors, and enforce vehicle restraint safety interlocks that prevent dock leveler operation while trailer restraint is disengaged. Rationale: 45-minute trailer loading time per dock door across 8 doors provides the dispatch capacity needed for daily order volume. Vehicle restraint enforcement prevents trailer creep during loading, which causes dock plate separation and forklift fall hazards. Dock-to-lane assignment optimizes carrier consolidation. | Test | subsystem, packing, session-248 |
| SUB-REQS-059 | The Inbound Dock and Unloading Station SHALL process a minimum of 80 pallets per shift across 6 inbound dock doors, with driver check-in and PO matching completing within 3 minutes of trailer arrival at the dock. Rationale: 80 pallets per shift across 6 inbound docks matches the daily replenishment rate needed to maintain 120,000-position AS/RS inventory levels. 3-minute driver check-in and PO matching minimizes dock occupancy time, maximizing inbound throughput during receiving windows. | Test | subsystem, receiving, session-248 |
| SUB-REQS-060 | The Inbound Quality Inspection Station SHALL perform configurable sample-rate inspection (10% default, 100% for flagged suppliers) and process a minimum of 200 SKU inspections per hour per station with defect classification, photograph capture, and supplier quality scorecard generation. Rationale: Configurable sample-rate inspection (10% default, 100% for flagged suppliers) balances quality assurance against receiving throughput. 200 inspections/shift at 60-second processing time keeps inspection from bottlenecking the inbound flow. Flagged supplier escalation is triggered by quality history data from the WMS. | Test | subsystem, receiving, session-248 |
| SUB-REQS-061 | The Receiving Barcode and RFID Scanner Array SHALL achieve a first-pass read rate of 99.8% or greater across all supported barcode formats (GS1-128, EAN-13, UPC-A) and EPC Gen2 UHF RFID tags, processing a minimum of 600 items per hour per scanner. Rationale: 99.8% first-pass read rate across GS1-128, EAN-13, UPC-A, and EPC Gen2 UHF RFID ensures incoming goods are identified without manual intervention in the vast majority of cases. Failed reads at receiving delay put-away assignment and create inventory blind spots. Multi-format support covers the range of supplier labelling practices. | Test | subsystem, receiving, session-248 |
| SUB-REQS-062 | The Put-Away Assignment Engine SHALL determine optimal storage location within 500 milliseconds of receiving item identification, considering temperature zone, hazmat classification, velocity-based slotting, and AS/RS aisle load balancing. Rationale: 500ms put-away assignment keeps pace with the inbound conveyor tote arrival rate. Optimal location selection considering temperature zone, hazmat classification, and pick frequency minimizes subsequent retrieval times and ensures regulatory compliance for segregated storage. Velocity-based slotting places fast-moving SKUs in high-throughput AS/RS positions. | Test | subsystem, receiving, session-248 |
| SUB-REQS-063 | The Inbound Conveyor Interface SHALL provide a 10-tote accumulation buffer with zero-pressure accumulation and merge into the main conveyor trunk line at 1.5 m/s without stopping main line flow. Rationale: 10-tote accumulation buffer absorbs receiving throughput bursts without stalling the inbound processing line. Zero-pressure accumulation prevents tote damage from conveyor back-pressure. 1.5 m/s merge speed matches the main trunk line speed, ensuring seamless integration without stop-start disruptions to mainline traffic flow. | Test | subsystem, receiving, session-248 |
| Ref | Requirement | V&V | Tags |
|---|---|---|---|
| IFC-DEFS-001 | The interface between the AS/RS Control System and each Mini-Load Stacker Crane SHALL use PROFINET IRT with a cycle time of 1 ms or less, carrying servo drive setpoints, encoder feedback, and safety-rated stop commands via PROFIsafe layer. Rationale: PROFINET IRT at 1ms cycle time is required for closed-loop servo positioning of stacker cranes at velocities up to 4m/s horizontal. Standard PROFINET RT introduces positioning overshoot exceeding the 2mm fork placement tolerance. Safety-rated data must share the same fieldbus to avoid separate wiring runs in 15m crane masts. | Test | interface, asrs, session-243 |
| IFC-DEFS-002 | The interface between the AS/RS Control System and the Warehouse Management System SHALL use OPC UA with a subscription publish interval of no more than 500 ms, carrying storage/retrieval commands, location confirmations, and crane status reports. Rationale: OPC UA provides vendor-neutral integration between AS/RS PLC controllers and WMS. 500ms publish interval balances WMS decision latency against network bandwidth on shared plant Ethernet. Faster rates generate excessive traffic with no improvement in order throughput. | Test | interface, asrs, session-243 |
| IFC-DEFS-003 | The interface between the AS/RS I/O Conveyor Station and the Material Handling Conveyor System SHALL transfer totes at a rate of at least 200 per hour per station via roller conveyor handoff with barcode verification at the transfer point. Rationale: I/O conveyor stations are the throughput bottleneck between AS/RS aisles and conveyor network. 200 totes/hr/station matches crane cycle rate so neither system starves or blocks. Barcode-verified handshake prevents tote misrouting that would degrade inventory accuracy below 99.95% target. | Test | interface, asrs, session-243 |
| IFC-DEFS-004 | The interface between the Crane Position Sensing System and the AS/RS Control System SHALL provide absolute position data on horizontal, vertical, and fork extension axes at a minimum update rate of 100 Hz with a maximum latency of 5 ms. Rationale: 100Hz absolute position update rate supports AS/RS control loop achieving 2mm fork placement accuracy at 4m/s traverse. Lower rates produce 400mm position uncertainty between samples, preventing smooth deceleration and risking tote overshoot in storage racks. | Test | interface, asrs, session-243 |
| IFC-DEFS-005 | The interface between the Fleet Management Server and each AMR SHALL use a bidirectional message protocol over WiFi carrying pose reports from the AMR at 10 Hz and path commands from the server, with message serialization using Protocol Buffers and transport over UDP for pose data and TCP for commands, each message not exceeding 512 bytes. Rationale: 10 Hz pose updates are the minimum for effective fleet-level path planning with 80-plus AMRs in shared corridors. Below 10 Hz, the fleet management server position uncertainty exceeds the 200mm slot tolerance, causing unnecessary re-planning and throughput degradation. | Test | interface, amr-fleet, session-244 |
| IFC-DEFS-006 | The interface between the Safety and Collision Avoidance System and the AMR Vehicle Platform SHALL use a dedicated safety-rated EtherCAT FSoE connection providing safe speed limit values and safe torque off commands with a safety communication cycle time of no more than 4 ms and a watchdog timeout of 12 ms triggering automatic safe torque off if communication is lost. Rationale: Dedicated safety-rated EtherCAT FSoE provides SIL 3 integrity for safe torque-off commands, isolating safety-critical stop signals from general-purpose communication. Mixing safety and operational traffic on the same channel violates IEC 62443 zone separation principles for industrial safety systems. | Test | interface, amr-fleet, safety, session-244 |
| IFC-DEFS-007 | The interface between the Payload Handling Mechanism and the Material Handling Conveyor System at I/O transfer stations SHALL use matched roller conveyor heights of 750 mm plus or minus 5 mm, bidirectional roller drive at 0.5 m/s, and photoelectric tote presence sensors on both sides to perform handshake-based tote transfer with a maximum transfer initiation delay of 500 ms from docking confirmation. Rationale: 750mm is the standard Europalette/tote conveyor height in automated fulfillment. Plus or minus 5mm tolerance ensures gravity-assisted tote transfer without jamming. Exceeding 5mm misalignment causes tote edge catching at roller transitions, creating unacceptable jam rates at 400 transfers per hour. | Test | interface, amr-fleet, session-244 |
| IFC-DEFS-008 | The interface between the Fleet Management Server and the Warehouse Management System SHALL exchange transport orders via REST API with JSON payloads containing source location, destination location, tote identifier, priority level, and deadline timestamp, with the Fleet Management Server acknowledging receipt within 200 ms and reporting order completion or failure within 5 seconds of the event. Rationale: REST API with JSON payloads provides loose coupling between fleet management and warehouse management domains, allowing independent deployment cycles. The interface specification ensures both sides share a contract for order routing, preventing dispatch failures from schema drift during software updates. | Test | interface, amr-fleet, session-244 |
| IFC-DEFS-009 | The interface between the Battery Management and Charging System and the Fleet Management Server SHALL report battery state of charge with 1 percent resolution, estimated remaining runtime in minutes, and charging station occupancy status at 1 Hz intervals, enabling the Fleet Management Server to schedule charging rotations without operator intervention. Rationale: 1 percent SoC resolution enables the fleet management server to make informed charging decisions. Coarser resolution leads to premature or delayed charging that degrades the 85 percent fleet availability target. Runtime estimation feeds directly into the dispatch optimizer task feasibility calculation. | Test | interface, amr-fleet, session-244 |
| IFC-DEFS-010 | The interface between Order Processing Engine and Inventory Database and Location Engine SHALL support atomic batch reservation requests via synchronous REST API, accepting up to 200 SKU-location pairs per request with JSON payload, returning reservation confirmation or partial-failure details within 500 milliseconds. Rationale: Atomic batch reservations prevent partial wave allocation. If 200 SKU reservations cannot all succeed atomically, the order processing engine generates incomplete pick waves causing downstream task failures and inventory inconsistencies requiring manual intervention. | Test | interface, wms, session-245 |
| IFC-DEFS-011 | The interface between Order Processing Engine and Task Allocation and Dispatch Engine SHALL transmit pick wave task lists via asynchronous message queue (RabbitMQ/Kafka topic), with each message containing wave ID, ordered task list with priorities, and allocated SKU-locations, delivered with at-least-once guarantee. Rationale: Asynchronous message queue decouples wave generation from task dispatch, allowing the order processing engine to generate waves without blocking on downstream resource availability. Message persistence guarantees no pick task is lost during dispatch engine restarts. | Test | interface, wms, session-245 |
| IFC-DEFS-012 | The interface between Task Allocation and Dispatch Engine and Fleet Management Server SHALL use a bidirectional REST API for task assignment (POST) and status updates (webhook callback), with task payloads including source location, destination location, tote ID, priority level, and deadline timestamp, with acknowledgment within 2 seconds. Rationale: Bidirectional REST with webhook callbacks enables real-time task status propagation without polling. The task allocation engine needs completion confirmations to update wave progress and trigger subsequent tasks in multi-step pick-pack-ship workflows. | Test | interface, wms, session-245 |
| IFC-DEFS-013 | The interface between Task Allocation and Dispatch Engine and AS/RS Control System SHALL use a bidirectional OPC UA connection for storage/retrieval commands and completion confirmations, supporting command rates of at least 20 commands per second with response latency under 500 milliseconds. Rationale: OPC UA is the industry-standard protocol for AS/RS crane control, providing structured data types for storage location addressing, retrieval sequencing, and completion confirmation. Using a non-standard protocol would require custom integration per crane vendor, increasing maintenance cost. | Test | interface, wms, session-245 |
| IFC-DEFS-014 | The interface between ERP and External Integration Gateway and Order Processing Engine SHALL deliver transformed order messages via internal message queue with schema-validated JSON payloads conforming to a versioned order schema, rejecting malformed messages to a dead-letter queue with detailed validation error reports. Rationale: Schema-validated JSON at the ERP-to-internal boundary enforces data quality at the system perimeter. Malformed ERP messages with missing SKU or invalid quantities are rejected before entering the order processing pipeline, preventing downstream cascading failures across task allocation and inventory systems. | Test | interface, wms, session-245 |
| IFC-DEFS-015 | The interface between the Barcode and RFID Scanning Stations and the Merge and Divert Units SHALL deliver tote identification results to the PLC divert logic within 50 milliseconds of the tote entering the scanner field, using Profinet IO with a deterministic 1 millisecond cycle time. Rationale: 50ms scan-to-divert latency ensures totes are identified before reaching the divert point at conveyor speeds of 1.5m/s with 600mm tote spacing. Exceeding 50ms causes the tote to pass the divert gate, requiring recirculation that reduces effective sort capacity by up to 8%. | Test | interface, conveyor, session-246 |
| IFC-DEFS-016 | The interface between the Conveyor PLC Control Network and the Warehouse Management System SHALL provide real-time conveyor zone status via OPC UA subscription at 1-second update intervals, reporting zone occupancy, segment speed, fault status, and accumulated tote counts per zone. Rationale: Real-time conveyor zone status enables WMS to reroute orders around jammed or maintenance-isolated conveyor segments. 1-second update interval is sufficient for WMS re-planning cycle (5-10s) while avoiding excessive OPC UA subscription load on the plant network. | Test | interface, conveyor, session-246 |
| IFC-DEFS-017 | The interface between the Vertical Reciprocating Conveyors and the Zone Conveyor Segments at each mezzanine level SHALL use matched roller heights of 750 millimetres plus or minus 5 millimetres with powered roller handoff, and the VRC PLC SHALL interlock with the zone PLC to prevent simultaneous load and unload operations on the same VRC platform. Rationale: Matched roller heights within 5mm tolerance prevent tote tipping during vertical-to-horizontal transfer. Misalignment beyond 5mm at 0.5m/s transfer speed causes Euro totes to catch on the lip, jamming the VRC and blocking the vertical transport path for the entire mezzanine. | Test | interface, conveyor, safety, session-246 |
| IFC-DEFS-018 | The interface between the Vision and Item Recognition System and the Pick Planning and Optimization Module SHALL transmit grasp pose candidates as a ranked list of 6-DoF poses with confidence scores, item dimensions, and recommended gripper mode, delivered via shared-memory IPC with latency not exceeding 5 milliseconds per message. Rationale: Ranked 6-DoF grasp poses with confidence scores allow the pick planner to select the highest-confidence grasp while respecting kinematic constraints. 100ms latency budget ensures the vision pipeline does not become the bottleneck in the 4-second pick cycle target. | Test | interface, robotic-picking, vision-planning, session-247 |
| IFC-DEFS-019 | The interface between the Pick Planning and Optimization Module and the Robotic Pick Arm SHALL use EtherCAT with a cycle time of 1 millisecond, transmitting Cartesian target poses, velocity profiles, and gripper commands as a structured PDO with a maximum payload of 128 bytes per cycle. Rationale: EtherCAT at 1ms cycle time is required for coordinated 6-axis motion control with sub-millimetre path accuracy. Slower fieldbus cycles cause trajectory interpolation errors at the pick arm joints, degrading placement accuracy below the 2mm requirement for tote slot insertion. | Test | interface, robotic-picking, planning-arm, session-247 |
| IFC-DEFS-020 | The interface between the Pick Planning and Optimization Module and the Task Allocation and Dispatch Engine SHALL exchange pick task messages via REST API over the plant Ethernet network, with each pick task containing order ID, SKU list, source tote ID, destination tote IDs, and priority level, with acknowledgement returned within 500 milliseconds. Rationale: REST API over plant Ethernet provides loose coupling between the pick planning module and WMS task dispatcher, enabling independent scaling and deployment. Sub-second response latency prevents pick station starvation when task queue depth drops below 3 pending picks. | Test | interface, robotic-picking, wms-picking, session-247 |
| IFC-DEFS-021 | The interface between the Robotic Pick Arm and the End-Effector and Gripper System SHALL use an ISO 9409-1 mechanical flange with integrated pneumatic pass-through for vacuum supply and a 24-pin electrical connector carrying vacuum valve control, pressure sensor feedback, jaw motor commands, and force-torque sensor data at 1kHz sampling rate. Rationale: ISO 9409-1 flange standardises end-effector interchangeability for maintenance replacement without recalibration. Integrated pneumatic pass-through eliminates external hose routing that would snag on tote edges during pick operations. 24-pin connector carries vacuum sensor feedback, gripper finger position, and force/torque signals needed for adaptive grasp control. | Inspection | interface, robotic-picking, arm-gripper, session-247 |
| IFC-DEFS-022 | The interface between the Robotic Picking System and the Material Handling Conveyor System SHALL use roller conveyor tote ports sized for 600x400mm Euro totes, with photoelectric presence sensors confirming tote arrival and departure, and PLC handshake signals exchanged via PROFINET with a response time of less than 100 milliseconds. Rationale: 600x400mm Euro tote ports match the standard tote size used throughout the AS/RS and conveyor network. Photoelectric presence sensors with 200ms debounce prevent false triggers from tote wobble during conveyor deceleration, which would cause premature pick cycle initiation on an unstable tote. | Test | interface, robotic-picking, conveyor, session-247 |
| IFC-DEFS-023 | The interface between the Pick Cell Safety Enclosure and the Robotic Pick Arm SHALL use a dedicated safety PLC (ISO 13849 Category 3, PLd) connected to the robot servo drives via Safe Torque Off wiring, with safety light curtain status, door interlock status, and emergency stop state transmitted as safety-rated digital inputs with a diagnostic coverage of at least 99%. Rationale: Dedicated safety PLC at PLd provides the required safety integrity for human-robot collaborative zones per ISO 10218-2. Safe Torque Off wiring ensures the robot arm is physically de-energised within 50ms of a safety breach, independent of the robot controller software. Category 3 architecture provides single-fault tolerance. | Test | interface, robotic-picking, safety, session-247 |
| IFC-DEFS-024 | The interface between Fire Detection and Suppression System and Building Management Controller SHALL use EN 54-compliant addressable fire alarm loop protocol, transmitting zone-specific alarm events (pre-alarm, alarm, fault) with detector address identification within 1 second of detection event. Rationale: EN 54 addressable loop protocol is mandated by European fire safety regulations for commercial buildings. Zone-specific alarm events enable targeted evacuation and sprinkler activation rather than whole-building response, minimising disruption to unaffected warehouse zones during localised incidents. | Test | interface, bms, session-248 |
| IFC-DEFS-025 | The interface between Fire Detection and Suppression System and Emergency Shutdown and Evacuation System SHALL provide a hardwired fire-confirmed signal (volt-free relay contact, normally closed) that triggers automatic evacuation sequence within 3 seconds of confirmed fire alarm. Rationale: Hardwired fire-confirmed relay provides a deterministic, software-independent trigger for evacuation. Normally-closed contact ensures fail-safe behaviour — wire break or relay failure defaults to alarm state. This separation from the digital fire alarm loop ensures evacuation proceeds even during BMS controller failure. | Test | interface, bms, session-248 |
| IFC-DEFS-026 | The interface between HVAC and Environmental Monitoring System and Building Management Controller SHALL use BACnet/IP protocol to transmit environmental sensor data (temperature, humidity, air quality) at 30-second intervals, and SHALL receive zone damper control commands with acknowledgment within 2 seconds. Rationale: BACnet/IP is the standard building automation protocol for HVAC integration, providing interoperability across multi-vendor BMS installations. 30-second reporting interval matches HVAC system thermal response time — faster reporting would not improve temperature control but would increase network load. Temperature, humidity, and air quality are needed for chilled zone compliance and staff working environment monitoring. | Test | interface, bms, session-248 |
| IFC-DEFS-027 | The interface between Building Management Controller and Warehouse Management System SHALL provide zone status data (normal, restricted, evacuating, maintenance) via REST API with 5-second maximum update latency, enabling the WMS to reroute AMR traffic and suspend order processing for affected zones. Rationale: Zone status data enables WMS to suspend order routing to zones under evacuation or maintenance, preventing AMR dispatch into unsafe areas. 5-second maximum update latency ensures WMS route planning reflects current zone state before dispatching any AMR, given AMR travel time to zone boundary exceeds 10 seconds from any dispatch point. | Test | interface, bms, session-248 |
| IFC-DEFS-028 | The interface between Access Control and Intrusion Detection System and Emergency Shutdown and Evacuation System SHALL release all electromagnetic door locks within 1 second of evacuation signal activation, using a fail-safe power-off release mechanism. Rationale: 1-second door release latency is required to ensure egress paths are clear before evacuating personnel reach locked access points. Electromagnetic locks with fail-safe release prevent entrapment during power failure. Compliance with EN 13637 emergency exit device requirements. | Test | interface, bms, session-248 |
| IFC-DEFS-029 | The interface between Lighting Control System and Emergency Shutdown and Evacuation System SHALL switch all zone lighting to full brightness within 500 milliseconds of evacuation signal, overriding any occupancy-based dimming or scheduled off states. Rationale: Full brightness within 500ms ensures illumination is established before personnel begin evacuation movement, preventing trips and falls in warehouse aisles with narrow clearances. Override of scheduled dimming and zone-based control prevents dark zones during emergency egress. | Test | interface, bms, session-248 |
| IFC-DEFS-030 | The interface between Automated Packing Station and Material Handling Conveyor System SHALL receive filled totes from the conveyor with order-complete confirmation signal via barcode scan handshake, transferring tote contents to packing cell within 5 seconds of arrival. Rationale: Barcode scan handshake at the packing station intake confirms order completeness before packing begins, preventing partial shipments. The conveyor-to-packing transfer must not impede upstream conveyor flow — a blocked handshake would cascade back through merge points and reduce system throughput. | Test | interface, packing, session-248 |
| IFC-DEFS-031 | The interface between Outbound Sortation System and Warehouse Management System SHALL receive sort destination assignment per carton via barcode-triggered lookup, with WMS responding within 200 milliseconds of barcode scan event to prevent sort decision delay at sorter induction speed. Rationale: 200ms WMS response time for sort destination lookup ensures the carton receives its divert command before passing the sortation divert point at 2m/s belt speed with 500mm carton pitch. Slower response causes mis-sorts or recirculation, directly impacting the 0.01% mis-sort rate target. | Test | interface, packing, session-248 |
| IFC-DEFS-032 | The interface between Dispatch Dock Management System and ERP and External Integration Gateway SHALL exchange shipment manifest data via EDI 856 (Advance Ship Notice) and receive carrier pickup schedules via EDI 214 (Transportation Carrier Shipment Status), with manifest transmission completing within 60 seconds of trailer departure. Rationale: EDI 856 Advance Ship Notice is the industry standard for carrier integration, enabling automated dock scheduling and reducing truck turnaround time. Carrier pickup schedule data drives dock door allocation and labour planning for the dispatch team. | Test | interface, packing, session-248 |
| IFC-DEFS-033 | The interface between Receiving Barcode and RFID Scanner Array and Inventory Database and Location Engine SHALL post stock receipt transactions in real-time via synchronous API call, with the Inventory Database confirming receipt within 200 milliseconds and immediately updating available stock quantities. Rationale: Real-time synchronous API for stock receipt ensures inventory database reflects physical stock state within the scan-to-commit cycle. Asynchronous posting risks WMS allocating the same location to a second inbound tote before the first receipt is recorded, causing location conflicts. | Test | interface, receiving, session-248 |
| IFC-DEFS-034 | The interface between Put-Away Assignment Engine and Inbound Conveyor Interface SHALL transmit tote routing instructions (destination AS/RS aisle and I/O station) to the Conveyor PLC Control Network via Ethernet/IP within 100 milliseconds of assignment decision, enabling correct divert at each conveyor junction. Rationale: Put-away routing instructions must reach the conveyor PLC before the tote arrives at the first divert point from the receiving area. The conveyor PLC-to-PLC Modbus TCP relay provides deterministic routing without requiring WMS involvement in real-time conveyor control decisions. | Test | interface, receiving, session-248 |
| IFC-DEFS-035 | The interface between Inbound Dock and Unloading Station and ERP and External Integration Gateway SHALL receive advance shipment notification (ASN) data via EDI 856, matching dock check-in trailer ID with expected PO lines to pre-populate receiving screens and enable discrepancy detection before unloading begins. Rationale: EDI 856 ASN data enables dock pre-staging and receiving labour scheduling before the trailer arrives. Matching ASN trailer ID to dock check-in prevents misidentification of shipments, which would corrupt inventory records for the entire inbound consignment. | Test | interface, receiving, session-248 |
| IFC-DEFS-037 | The interface between the ERP and External Integration Gateway and all OT subsystem controllers (AS/RS Control System, Conveyor PLC Control Network, Fleet Management Server, Building Management Controller) SHALL traverse an industrial demilitarised zone with application-layer inspection, permitting only validated OPC UA, REST, and BACnet/IP traffic on whitelisted ports, with all sessions logged to a SIEM collector at a minimum rate of 1,000 events per second. | Test | interface, cybersecurity, validation, session-250 |
| IFC-DEFS-038 | The interface between the ERP and External Integration Gateway and all OT subsystem controllers (AS/RS Control System, Conveyor PLC Control Network, Fleet Management Server, Building Management Controller) SHALL traverse an industrial demilitarised zone with application-layer inspection, permitting only validated OPC UA, REST, and BACnet/IP traffic on whitelisted ports, with all sessions logged to a SIEM collector at a minimum rate of 1,000 events per second. | Test | interface, cybersecurity, validation, session-250 |
| Ref | Requirement | V&V | Tags |
|---|---|---|---|
| ARC-DECISIONS-001 | ARC: System Architecture — Goods-to-person fulfilment using AS/RS for dense storage with AMR fleet for flexible transport to stationary robotic pick stations. This hybrid approach was selected over person-to-goods (low throughput, high labour cost), goods-to-person with fixed conveyor only (inflexible, high capital for reconfiguration), and fully mobile shelf systems like Kiva/Amazon Robotics (insufficient storage density for 100K+ SKUs with mixed ambient/chilled/hazmat requirements). The AS/RS provides the storage density and environmental segregation, while AMRs provide the flexible routing that fixed conveyors cannot offer for multi-temperature-zone operations. Rationale: Goods-to-person with AS/RS plus AMR fleet was chosen over person-to-goods (forklifts, pick carts) because the 50,000 lines/hr throughput target and zero lost-time injury requirement are incompatible with human-driven vehicles in high-density storage. The hybrid approach leverages fixed-path cranes for dense storage and flexible AMRs for dynamic routing. | Inspection | architecture, system-level, session-242 |
| ARC-DECISIONS-002 | ARC: Automated Storage and Retrieval System — Mini-load crane architecture with 6 single-deep aisles was selected over shuttle-based systems (Autostore, shuttle cars) and multi-deep crane systems. Mini-load cranes provide the required 200 cycles/hr/aisle throughput with proven reliability (MTBF >5,000 hrs per crane) while supporting mixed ambient/chilled operations in the same installation. Shuttle systems offer higher density but cannot operate in chilled zones without significant thermal management. Multi-deep cranes increase density but reduce selectivity below the 99.95% inventory accuracy target. Six aisles provide N+1 redundancy: loss of one aisle reduces capacity to 83%, above the 85% degraded-mode threshold. Rationale: Mini-load cranes provide deterministic throughput per aisle and simpler maintenance than shuttle-based systems. Single-deep racking was chosen over multi-deep because SKU diversity requires individual tote access without reshuffling. Six aisles provide N-1 redundancy against single-aisle maintenance. | Analysis | architecture, asrs, session-243 |
| ARC-DECISIONS-003 | ARC: Autonomous Mobile Robot Fleet — Centralized fleet management with onboard vehicle autonomy. The Fleet Management Server handles all task allocation and global path planning while each AMR retains local navigation autonomy for obstacle avoidance and trajectory following. This hybrid architecture was chosen over fully decentralized coordination because centralized reservation-based path planning eliminates deadlocks at aisle intersections, which decentralized reactive approaches cannot guarantee in dense grid layouts. The alternative of fully centralized control including local motion was rejected because it requires sub-10ms control loops over WiFi, which is unreliable in warehouse RF environments with metal racking reflections. The safety system operates on a physically separate bus from navigation to achieve ISO 13849 PLd independence. Rationale: Centralized fleet management with onboard autonomy balances global optimality (server computes conflict-free paths for all AMRs) against resilience (AMRs retain local obstacle avoidance if server connection drops). This is the dominant architecture pattern in deployed warehouse AMR systems. | Analysis | architecture, amr-fleet, session-244 |
| ARC-DECISIONS-004 | ARC: Warehouse Management System — Decomposed into five modules (Order Processing, Inventory Database, Task Allocation, ERP Integration, Dashboard) with asynchronous message-queue coupling between order processing and task dispatch, but synchronous REST for inventory allocation. This topology separates the high-throughput transactional core (Inventory Database) from the integration boundary (ERP Gateway) and monitoring plane (Dashboard). Alternative considered: monolithic WMS with shared database — rejected because AS/RS OPC UA interface and ERP EDI transformation have fundamentally different scaling profiles and failure domains. A queue failure in the ERP Gateway should not block inventory operations or task dispatch. Rationale: Five-module decomposition separates concerns along data ownership boundaries: Order Processing owns order state, Inventory DB owns stock state, Task Allocation owns dispatch state. This enables independent scaling and deployment of each module as throughput demands vary seasonally. | Analysis | architecture, wms, session-245 |
| ARC-DECISIONS-005 | ARC: Material Handling Conveyor System — Five-component decomposition: Zone Conveyor Segments provide modular transport backbone, Merge and Divert Units handle routing decisions, Conveyor PLC Control Network coordinates all motion and accumulation logic, Barcode and RFID Scanning Stations provide identification at decision points, and Vertical Reciprocating Conveyors connect mezzanine levels. Zero-pressure accumulation was chosen over pressure-back accumulation to prevent tote damage in chilled zones where condensation reduces friction coefficients. Distributed PLC topology (one PLC per 4-6 zones) was selected over centralized control for fault isolation — a single zone PLC failure affects only its zones rather than halting the entire conveyor network. Rationale: Five-component conveyor decomposition separates control (PLC network), transport (zone segments), routing (merge/divert), scanning (barcode/RFID stations), and level change (VRCs). This modular approach allows independent maintenance and firmware updates per component class without system-wide conveyor shutdown. | Analysis | architecture, conveyor, session-246 |
| ARC-DECISIONS-006 | ARC: Robotic Picking System — Dual-mode gripper with vision-driven mode selection over single-mode or manual tool-change approaches. The architecture uses a combined vacuum-suction and mechanical-jaw end-effector with automatic mode switching under 500ms, rather than separate tool heads requiring tool-change cycles or a single vacuum-only gripper. This trades mechanical complexity at the wrist for elimination of tool-change time (typically 3-5 seconds per change) and broader SKU coverage. The alternative of vacuum-only gripping was rejected because approximately 15% of SKUs (porous packaging, irregular shapes, items under 20g) cannot be reliably vacuum-picked. A separate mechanical-only station was rejected because it would require duplicate conveyor routing and double the floor space. Edge inference for vision (rather than cloud or centralized server) was chosen to meet the 150ms processing budget without network latency variability. Rationale: Dual-mode gripper with vision-driven selection covers the full SKU range without manual tool changes that would reduce pick rate. Vacuum handles flat and deformable items; mechanical jaws handle rigid and heavy items. Automatic mode selection via the vision system eliminates operator intervention and maintains the 900 picks/hr target. | Analysis | architecture, robotic-picking, session-247 |
| ARC-DECISIONS-007 | ARC: Building Management and Safety System — Six-component decomposition with a central Building Management Controller integrating four independent safety domains (fire, access, evacuation, HVAC) plus lighting. The BMS controller uses BACnet/IP for HVAC and lighting (standard building automation) but dedicated hardwired fire alarm loops (EN 54) for fire detection, and separate safety-rated circuits (ISO 13849 PLe) for E-stop. This hybrid approach was chosen over a unified fieldbus architecture because fire and E-stop systems must continue operating during network failures and software crashes — hardwired safety circuits provide deterministic response times that software-based systems cannot guarantee. HVAC and lighting tolerate network latency and can gracefully degrade. The alternative of fully independent systems with no central controller was rejected because coordinated responses (fire triggers HVAC damper closure, evacuation, and lighting full-bright simultaneously) require an integration point. The BMS controller provides this coordination while each safety domain retains autonomous operation capability if the controller fails. Rationale: Central BMS controller integrating four independent safety domains ensures coordinated emergency response while maintaining domain independence for maintenance and testing. Fire, access, evacuation, and HVAC are independent safety systems with different regulatory frameworks that must be testable independently per EN 54, EN 60839, and EN 12101. | Analysis | architecture, bms, session-248 |
| ARC-DECISIONS-008 | ARC: Packing and Dispatch System — Sequential inline pipeline (pack → label → verify → sort → dock) rather than parallel packing cells feeding a shared sorter. Sequential inline was chosen because the weight/dimension verification must occur after packing and labeling are complete, creating a natural serial dependency. Parallel packing cells would require complex merge logic and could not guarantee FIFO order for carrier-sequenced loading. The Outbound Sortation System uses sliding shoe technology rather than pop-up wheel diverters because sliding shoes handle the full carton size range (200mm to 600mm) without reconfiguration and maintain 4,000 cartons/hour throughput. The alternative of manual dock loading was rejected because carrier pickup windows are tight (15-minute slots) and manual loading cannot achieve the required 45-minute trailer turnaround for 12 shipping lanes. Rationale: Sequential inline pipeline was chosen over parallel packing cells because the 4,000 cartons/hr sortation capacity matches the upstream picking rate without requiring complex multi-cell scheduling. Sequential flow simplifies quality control by providing a single inspection point per carton. The inline weight/dimension check catches errors before carrier handoff. | Analysis | architecture, packing, session-248 |
| ARC-DECISIONS-009 | ARC: Goods Receiving System — Five-component decomposition separating physical handling (dock, inspection) from identification (scanner array) and decision logic (put-away engine, conveyor interface). The Put-Away Assignment Engine is implemented as a stateless service invoked per item rather than a batch process because real-time slotting enables immediate conveyor routing to the correct AS/RS aisle without staging. Batch slotting was rejected because it would require a physical buffer area for received goods awaiting assignment, consuming 200+ sqm of floor space. Quality inspection is positioned before barcode scanning so that rejected items never enter the WMS inventory record — this prevents phantom inventory from defective goods that would later fail pick and require cycle counting. Rationale: Separating physical handling from identification and decision logic allows the scanner array and put-away engine to be upgraded independently of dock hardware. The inbound conveyor interface provides a decoupling buffer between variable-rate receiving and deterministic-rate mainline conveyor traffic. | Analysis | architecture, receiving, session-248 |
flowchart TB n0["component<br>Mini-Load Stacker Crane"] n1["component<br>High-Density Storage Racking"] n2["component<br>AS/RS I/O Conveyor Station"] n3["component<br>AS/RS Control System"] n4["component<br>Crane Position Sensing System"] n5["component<br>Telescoping Fork Load Handler"] n6["component<br>TestBlock"] n7["component<br>Mini-Load Stacker Crane"] n8["component<br>High-Density Storage Racking"] n9["component<br>AS/RS I/O Conveyor Station"] n10["component<br>AS/RS Control System"] n11["component<br>Crane Position Sensing System"] n12["component<br>Telescoping Fork Load Handler"] n10 -->|Movement commands PROFINET| n7 n11 -->|Position data 100Hz| n10 n10 -->|Transfer commands| n9 n7 -->|Tote store/retrieve| n8 n12 -->|Load handling| n7 n11 -->|Safety interlocks| n7 n9 -->|Tote handoff| n7
Automated Storage and Retrieval System — Internal
flowchart TB n0["component<br>AMR Vehicle Platform"] n1["component<br>Navigation and Localization System"] n2["component<br>Fleet Management Server"] n3["component<br>Safety and Collision Avoidance System"] n4["component<br>Wireless Communication Infrastructure"] n5["component<br>Battery Management and Charging System"] n6["component<br>Payload Handling Mechanism"] n7["actor<br>Warehouse Management System"] n8["actor<br>Material Handling Conveyor System"] n2 -->|Path commands, pose reports| n1 n2 -->|Fleet data transport| n4 n4 -->|Robot comms| n0 n1 -->|Motion commands| n0 n3 -->|FSoE safety bus| n0 n5 -->|48V power, BMS data| n0 n5 -->|SoC, charging status| n2 n6 -->|Roller drive control| n0 n7 -->|Transport orders, status| n2 n6 -->|Tote transfer| n8
AMR Fleet — Internal
flowchart TB n0["component<br>Vision and Item Recognition System"] n1["component<br>Pick Planning and Optimization Module"] n2["component<br>Robotic Pick Arm"] n3["component<br>End-Effector and Gripper System"] n4["component<br>Pick Cell Safety Enclosure"] n5["actor<br>WMS Task Allocation"] n6["actor<br>Conveyor System"] n0 -->|Grasp pose candidates| n1 n1 -->|Motion commands via EtherCAT| n2 n2 -->|Gripper commands and F/T data| n3 n3 -->|Grasp feedback| n0 n4 -->|STO and safety interlocks| n2 n5 -->|Pick tasks| n1 n6 -->|Source and destination totes| n2
Robotic Picking System — Internal
| Entity | Hex Code | Description |
|---|---|---|
| Access Control and Intrusion Detection System | 55F77A19 | Physical security system controlling personnel and vehicle access to a high-value automated warehouse. Manages RFID badge readers at 12+ access points including dock doors, server room, hazmat storage, and mezzanine levels. Includes CCTV surveillance with 40+ IP cameras (visible and thermal), perimeter intrusion detection (fence vibration sensors, IR beams), and vehicle gate barriers. Enforces zone-based access policies — AMR operating areas require maintenance lockout before human entry. Integrates with emergency evacuation system for automatic door release during fire events. Anti-tailgating detection at high-security zones. All events logged to central security management system with 90-day retention. |
| AMR Vehicle Platform | DFF71018 | Differential-drive autonomous mobile robot chassis rated for 600 kg payload in warehouse environments. Comprises brushless DC drive motors with encoders, steel-reinforced frame, polyurethane-tired caster wheels, and integrated motor controllers. Operating speed 0–2.0 m/s loaded on polished concrete floors. IP54-rated for dust and splash resistance. Dimensions approximately 1200×800×350 mm to match EUR pallet footprint. Each vehicle carries onboard compute (ARM-based SBC), IMU, and power distribution unit. Fleet size typically 30–80 units per facility. |
| AS/RS Control System | 51B77B08 | PLC and software system managing 6 stacker cranes and I/O stations. Siemens S7-1500 PLC with PROFINET I/O. Runs storage allocation algorithms (ABC slotting, zone segregation for chilled/hazmat), crane travel optimisation (dual-command cycle planning), I/O queue management. OPC UA interface to WMS for retrieval commands and storage confirmations. Target 200 dual-command cycles per crane per hour. |
| AS/RS I/O Conveyor Station | DEE57018 | Input/output conveyor stations at the front of each AS/RS aisle interfacing between stacker cranes and the warehouse material handling network. Each station has inbound and outbound lanes with accumulation conveyors, barcode verification scanners, and tote presence sensors. Transfer rate matches crane cycle time at 200 totes/hr per station. Belt-driven with 24V DC motors. Includes height and weight verification to reject non-conforming totes before storage. |
| Automated Packing Station | D5F73208 | Robotic packing cell in an automated warehouse handling 2,000+ orders per hour. Receives picked items from conveyor in totes, selects optimal carton size from 6 standard box formats using dimensional data from upstream vision system, erects carton, places items with robotic arm, inserts void fill (air pillows or paper), and seals carton with tape. Handles items from 50g to 15kg, dimensions up to 600x400x300mm. Integrates with WMS for order completeness verification before sealing. Rejects incomplete orders back to pick loop. Cycle time target: 15 seconds per carton for single-item orders, 45 seconds for multi-item orders requiring sequential packing. |
| Automated Storage and Retrieval System | DDA73018 | High-density automated storage using multi-deep shuttle-based racking with stacker cranes for pallet-level storage and mini-load cranes for tote/carton-level storage. 40m tall racking structure with 200,000+ storage locations. Stores ambient, chilled (+2C to +8C), and hazmat-segregated goods. Each aisle has a dedicated stacker crane with positioning accuracy of +/-5mm. Shuttle vehicles operate on rails within racking levels to present loads to crane. Average retrieval time 90 seconds per unit load. Interfaces with WMS for task dispatch and with conveyor system for load handoff at I/O points. |
| Automated Warehouse | 55E73218 | Large-scale automated warehouse and fulfillment centre operating 24/7 in a climate-controlled indoor industrial environment. Handles receiving, storage, picking, packing, and shipping of goods across diverse product categories (ambient, chilled, hazardous). Peak throughput of 50,000 order lines per hour. Integrates autonomous mobile robots (AMR), automated storage and retrieval systems (AS/RS), conveyor and sortation networks, robotic pick stations, and a warehouse management system (WMS). Safety-critical aspects include human-robot coexistence zones, fire suppression in high-density storage, and seismic bracing. Interfaces with upstream ERP/order management and downstream shipping carriers. |
| Autonomous Mobile Robot Fleet | D7F77218 | Fleet of 150+ autonomous mobile robots performing goods-to-person transport between AS/RS output stations and robotic/manual pick stations. Each AMR carries up to 600kg payload on a roller-top transfer platform. Navigation via 2D LiDAR SLAM with reflector augmentation, operating on polished concrete floor across 50,000 sqm warehouse floor space. Fleet management server handles traffic coordination, path planning (A* with dynamic obstacle avoidance), deadlock resolution, and battery management. Robots auto-dock at wireless charging stations during idle periods. Maximum speed 2 m/s, safety-rated to ISO 3691-4 with 360-degree obstacle detection. |
| Barcode and RFID Scanning Stations | D4E57008 | Fixed-mount omnidirectional barcode scanners and UHF RFID readers positioned at key conveyor decision points (merge/divert entries, zone transitions, I/O stations). Each station reads tote/carton barcodes at conveyor speed up to 2.0 m/s with 99.99 percent first-read rate. RFID readers provide fallback identification and zone-level inventory tracking. Connected to Conveyor PLC via Profinet and to WMS Inventory Database via OPC UA for location event generation. |
| Battery Management and Charging System | 55F73218 | Lithium iron phosphate battery packs with integrated BMS on each AMR plus fleet-level automated charging stations. Each AMR carries a 48V 30Ah LiFePO4 pack providing 4-6 hours runtime under load. BMS monitors cell voltages, temperatures, and SoC with 1% accuracy. Opportunity charging at designated floor-mounted inductive or contact-based stations with 3 kW charge rate, achieving 20% to 80% SoC in 45 minutes. Fleet Management Server coordinates charging rotation to maintain minimum 85% fleet availability. Charging stations include ground-level alignment guides for autonomous docking. Over-temperature and over-current protection with safety disconnect. |
| Building Management and Safety System | 51F77858 | Integrated building management and safety control system for a 50,000 sqm automated warehouse facility. HVAC system maintains ambient zones at 15-25C and chilled zones at 2-8C with humidity control. Fire detection via aspirating smoke detectors (VESDA) in high-rack areas and conventional addressable detectors in open areas, with in-rack sprinkler system and high-expansion foam for flammable storage. Emergency stop network (EN ISO 13850) covering all automated equipment zones with zone-based isolation — pulling an E-stop in one zone does not halt unrelated zones. Personnel detection at human-robot coexistence boundaries using safety-rated laser scanners (PLd/SIL2). UPS-backed emergency lighting and evacuation guidance. Power distribution from dual-feed 11kV supply with automatic transfer switch. BMS runs on BACnet IP with integration to central SCADA. |
| Building Management Controller | 51B77A18 | Central SCADA/BMS controller for an automated warehouse integrating fire detection, access control, HVAC, lighting, and emergency systems. Runs on redundant server pair with automatic failover (<5s switchover). Collects data from 500+ field devices via BACnet/IP for HVAC, Modbus TCP for power monitoring, and proprietary fire alarm panel interface. Provides unified operator workstation with alarm management, trend logging, and event correlation. Supports 10,000+ data points with 1-second scan cycle for critical alarms and 30-second cycle for environmental monitoring. Generates automated reports for regulatory compliance (energy usage, fire system test records, access logs). Interfaces with Warehouse Management System for coordinated zone shutdowns during maintenance. |
| Conveyor PLC Control Network | 51B57A08 | Distributed Siemens S7 or Rockwell ControlLogix PLC network coordinating all conveyor segments, merge/divert units, and transfer stations. Uses Profinet for I/O communication at 1ms cycle time. Manages zone-to-zone handoff logic, accumulation control, and emergency stop propagation. Central PLC gateway provides OPC UA interface to WMS for transport status and command injection. |
| Crane Position Sensing System | 54F57218 | Integrated sensing on each stacker crane for position control and collision avoidance. Absolute encoder on travel axis (0.5mm resolution), laser distance sensor on hoist axis (1mm resolution), fork position feedback, end-of-aisle proximity sensors. Safety-rated monitoring via Pilz PSS 4000 safety PLC. 100Hz position updates for servo control. |
| Dispatch Dock Management System | 41B77B18 | Dock door and trailer loading management for outbound dispatch in an automated warehouse with 8 outbound dock doors. Manages dock door assignment to carriers based on sortation lane fill level and carrier pickup schedule. Includes dock levelers, vehicle restraint systems (wheel chocks and trailer locks), and dock door status indicators (red/amber/green traffic lights). Trailer load planning optimizes carton loading sequence for route-based unloading order. Integrates with TMS (Transport Management System) via EDI for pickup scheduling and with WMS for shipment manifest reconciliation. Monitors dock door dwell time with target of <45 minutes per trailer load. Safety interlocks prevent dock leveler operation while vehicle restraint is disengaged. |
| Emergency Shutdown and Evacuation System | 54FD7A59 | Safety system providing emergency stop functionality and evacuation management for a 50,000 sqm automated warehouse with 200+ personnel. Includes networked E-stop mushroom buttons at every AMR aisle entrance, conveyor access point, and pick station (80+ E-stop stations total). E-stop activation halts all automated equipment in the affected zone within 500ms while maintaining fire suppression and emergency lighting. Evacuation system manages illuminated exit signs, PA/voice alarm (EN 54-16), emergency lighting (3-hour battery backup), and electromagnetic door holders releasing on fire alarm. Muster point tracking via badge readers at assembly areas. Interfaces with fire detection system for automatic evacuation trigger and with access control for emergency door release. Complies with ISO 13849 PLe for E-stop circuits. |
| End-Effector and Gripper System | DFF73018 | Multi-modal gripper mounted on the robotic pick arm wrist in an automated warehouse picking cell. Combines vacuum suction cups (4-zone, 50kPa negative pressure) with parallel-jaw mechanical fingers for handling items that vacuum cannot grip (porous, irregular surfaces). Automatic tool change between suction and mechanical modes in <0.5s. Integrated vacuum pressure sensors and jaw force sensors for grasp quality monitoring. Must handle items from 5g to 5kg, dimensions 20mm to 400mm. Quick-change mount compatible with ISO 9409-1 flange. |
| ERP and External Integration Gateway | 50A57308 | Middleware integration layer connecting the warehouse WMS to external enterprise systems. Provides bidirectional interfaces to ERP (SAP S/4HANA or Oracle via IDoc/BAPI and REST), carrier management systems (UPS, FedEx, DHL APIs for label generation and shipment tracking), and e-commerce platforms (Shopify, Amazon Seller Central via webhooks). Handles message transformation (EDI X12/EDIFACT to internal JSON), guaranteed delivery via message queue (RabbitMQ/Kafka), retry with exponential backoff, and dead-letter handling. Processes 500-1,000 inbound messages per minute during peak. Provides audit trail for all external transactions. Runs as a stateless API gateway with horizontal scaling behind a load balancer. |
| Fleet Management Server | 51B77308 | Centralized fleet orchestration software managing 30-80 AMRs in a single warehouse. Runs on redundant on-premise servers in active-standby. Performs real-time task allocation using priority-weighted auction, coordinated multi-robot path planning with conflict-free reservation tables, traffic management at intersections, and dynamic re-routing. Interfaces with WMS via REST API. Manages robot lifecycle including dispatch, charging rotation, maintenance. Target throughput over 500 transport orders per hour with under 15 s dispatch latency. |
| Goods Receiving System | 55F77A18 | Inbound logistics subsystem managing 30 dock doors with levellers and seals. Processes 200+ truck deliveries per day. Includes automated depalletizing robot (layer-pick gantry type), barcode/RFID scanning tunnel for receiving verification against advance shipping notices (ASN), quality inspection stations with checkweighing and dimensioning, and induction conveyors feeding goods into AS/RS or cross-dock lanes. Dock scheduling software coordinates arrival slots. Damaged goods diverted to quarantine area. Interfaces with WMS for inventory intake and with supplier EDI for ASN reconciliation. Temperature logging at dock for cold-chain compliance. |
| High-Density Storage Racking | CE851018 | Steel racking structure for mini-load AS/RS installation. 12m high, single-deep configuration with 600x400mm tote positions on both sides of each aisle. Approximately 20,000 storage positions per aisle across 6 aisles (120,000 total). Load-rated to 75kg per position with seismic bracing for UK Zone 0. Includes guide rails for stacker crane travel and position reference markers for laser-based crane positioning. Segregated zones for ambient, chilled, and hazmat storage with fire barriers between zones. |
| HVAC and Environmental Monitoring System | 55F77218 | Climate control and environmental monitoring for a multi-zone automated warehouse. Maintains ambient storage at 15-25°C, chilled zones at +2 to +8°C with ±1°C stability, and battery charging areas with enhanced ventilation (6 air changes/hour minimum for hydrogen gas dilution). Monitors temperature, humidity, air quality (CO, CO2, particulates), and differential pressure between zones to prevent cross-contamination. Uses distributed sensor network with 100+ monitoring points reporting to BMS every 30 seconds. HVAC units include rooftop air handling units for ambient zones and dedicated refrigeration plant for chilled zones. Automatic zone isolation dampers activate on fire alarm. Energy recovery ventilation reduces operating cost. |
| Inbound Conveyor Interface | DEA53008 | Conveyor connection segment linking the goods receiving area to the main material handling conveyor network in an automated warehouse. Includes incline belt conveyor from floor-level receiving area to mezzanine main conveyor level (3m elevation change), merge junction with main conveyor trunk line, and accumulation buffer zone (10 tote capacity) to absorb rate mismatches between manual receiving pace and automated conveyor throughput. Totes entering the inbound conveyor are already scanned and assigned a put-away destination. Conveyor speed matches main trunk line at 1.5m/s with zero-pressure accumulation in buffer zone. Photoeye sensors track tote position for merge timing. PLC controlled as part of the Conveyor PLC Control Network. |
| Inbound Dock and Unloading Station | DE851018 | Goods receiving dock infrastructure for an automated warehouse with 6 inbound dock doors. Includes hydraulic dock levelers (40,000 lb capacity), vehicle restraints, and dock shelters. Fork truck unloading area with floor-level staging lanes for pallet breakdown. Receives 50-80 pallets per shift from multiple suppliers. Pallet jack and counterbalance forklift interface area for transferring goods from pallets to receiving totes on inbound conveyor. Dock door status indicators and trailer check-in kiosk for driver appointment management. Safety barriers separate forklift operating area from pedestrian zones. Integrates with WMS for purchase order matching at dock check-in. |
| Inbound Quality Inspection Station | 55E63A18 | Quality inspection workstation for incoming goods in an automated warehouse. Performs visual inspection, dimensional verification, and damage assessment on a sample basis (configurable sampling rate per supplier, default 10%, 100% for new suppliers or those on quality watch). Includes digital scale (±1g, max 30kg), barcode scanner, and tablet-based inspection checklist connected to WMS. Records defect types (damage, wrong item, quantity discrepancy, labeling error) with photograph capture. Generates supplier quality scorecards. Rejects are quarantined in designated holding area pending supplier return authorization. Processes 200 SKU inspections per hour per station with 2 stations operational. |
| Inventory Database and Location Engine | 51B77B08 | Real-time inventory tracking system for a large automated warehouse managing 50,000+ SKUs across 100,000+ storage locations including AS/RS bins, shelf locations, and buffer zones. Maintains location-level stock records with lot/serial tracking, expiry date management, and multi-status inventory (available, allocated, damaged, quarantine). Provides sub-second location lookups and atomic reservation/deallocation operations. Runs on a PostgreSQL primary-replica cluster with Redis caching for hot location data. Supports cycle counting workflows, ABC slotting analysis, and directed putaway rules. Interfaces with every other WMS module and directly with AS/RS Control for bin-level position mapping. |
| Lighting Control System | 55F77A58 | Automated lighting management for a 50,000 sqm warehouse with zone-based control. LED high-bay fixtures in storage aisles operate on occupancy/motion detection to reduce energy consumption by 60% in unoccupied aisles. Continuous illumination (300 lux) at pick stations and packing areas per EN 12464-1. Dock door areas use daylight harvesting with photosensors. Emergency lighting (maintained/non-maintained mix) on dedicated battery backup circuits, tested weekly via automated self-test with results reported to BMS. DALI-2 protocol for individual fixture addressability and dimming. Integrates with access control for automatic lighting activation on zone entry and with emergency system for full-bright activation during evacuation. |
| Material Handling Conveyor System | DFF57218 | Network of belt conveyors, roller conveyors, and powered sortation equipment connecting AS/RS I/O stations, pick stations, packing stations, and shipping lanes. Total conveyor length approximately 3km. Includes high-speed tilt-tray sorter (12,000 items/hour capacity), right-angle transfers, merge points with traffic management, and spiral elevators for level changes. Tote and carton barcode scanning at each decision point for routing. PLC-controlled (Siemens S7-1500) with PROFINET fieldbus. Motor-driven rollers with zone-based accumulation to prevent product collision. Interfaces with WMS for routing decisions and with safety system for emergency stop zones. |
| Merge and Divert Units | 54F77008 | Pneumatic or belt-driven divert mechanisms at conveyor intersections that route totes to destination lanes based on barcode scan decisions. Each unit handles 30-degree diverts at up to 1.5 m/s with 99.95 percent sort accuracy. Includes upstream barcode scanner, PLC-controlled divert actuator, and confirmation scanner downstream. Typical warehouse has 8-15 merge/divert points depending on zone layout. |
| Mini-Load Stacker Crane | DFE71018 | Automated storage and retrieval machine for tote-based mini-load AS/RS. Rail-guided crane operating in 12m-high aisles at up to 4m/s horizontal and 2m/s vertical. Dual-mast design with telescoping fork load handling device. Handles totes up to 50kg, 600x400mm footprint. Servo-driven with regenerative braking. Operates in ambient and chilled (+2C) temperature zones. 6 cranes serve 6 aisles with single-deep racking, each achieving 200 dual-command cycles per hour. |
| Navigation and Localization System | 55F77218 | Multi-sensor fusion navigation system for indoor warehouse AMRs. Combines 2D LiDAR at 15 Hz with 25 m range, wheel odometry from motor encoders, and 9-axis IMU for real-time SLAM-based localization. Achieves plus-minus 20 mm repeatability on pre-mapped warehouse floor. Runs on vehicle-embedded ARM compute with ROS 2 navigation stack. Uses reflector-based and natural-feature SLAM for map maintenance. Provides pose estimates at 50 Hz to the vehicle motion controller. Must handle dynamic obstacles such as forklifts and personnel and maintain localization through feature-sparse aisle intersections. |
| Order Processing Engine | 51B73308 | Central order management module within a high-throughput automated warehouse WMS. Receives customer orders from ERP/e-commerce integrations via REST APIs and EDI feeds. Performs order validation (inventory availability, credit hold checks), groups orders into pick waves using configurable wave planning algorithms (zone-based, order-based, batch), and manages order lifecycle states (received, allocated, in-progress, packed, shipped). Processes 5,000-10,000 order lines per hour during peak. Interfaces with Inventory Database for allocation and Task Allocation Engine for work generation. Runs as a clustered Java/Kotlin microservice with PostgreSQL persistence. |
| Outbound Sortation System | 57F77208 | High-speed sliding shoe or crossbelt sorter directing packed and labeled cartons to carrier-specific shipping lanes in an automated warehouse. Handles cartons from 200x150x100mm to 600x400x400mm, weight up to 25kg. Sort rate: 4,000 cartons per hour across 12 shipping lanes (8 carrier lanes, 2 oversized/special handling, 1 returns processing, 1 exception/reject). Receives sort destination from WMS via barcode scan at sorter induction point. Uses photoeye array for carton tracking and jam detection. Recirculation loop handles missed sorts with maximum 2 recirculations before divert to manual handling. Integrates with dock door management for lane-to-door assignment. |
| Packing and Dispatch System | 55F73A18 | Outbound logistics subsystem handling order consolidation, packing, labelling, and truck loading. Includes automated cartonization machine (right-size box cutting from corrugated fanfold), void-fill insertion, automated taping, and print-and-apply shipping label applicator. Manual packing stations for irregular items with pick-to-light guidance. Weight verification scale for compliance with carrier limits. Sortation to 60 shipping lanes by carrier/route/priority. Automated palletizing robot for full-pallet B2B shipments. Dispatch manifest generation and carrier API integration. Throughput target 8,000 parcels/hour. Interfaces with WMS for packing instructions and with shipping carriers for label/manifest data. |
| Payload Handling Mechanism | DFE53008 | Top-of-robot conveyor or lift mechanism for automated tote and carton transfer between AMR and fixed conveyor stations or picking stations. Motorized roller conveyor top with bidirectional transfer at 0.5 m/s, handling totes up to 600x400x300 mm and 35 kg. Integrated photoelectric sensors for tote presence detection and position verification. Automatic alignment with station roller conveyors using mechanical guides and proximity sensors. Transfer cycle time under 3 seconds for load or unload. Controlled via EtherCAT from onboard AMR controller. |
| Pick Cell Safety Enclosure | CE853858 | Physical safety enclosure surrounding each robotic picking cell in an automated warehouse. ISO 10218-2 and ISO 13849 PLd compliant. Includes polycarbonate guarding panels, category 3 safety-rated light curtains at tote entry/exit ports, emergency stop mushroom buttons (2 per cell), and safety-rated door interlocks with guard locking. Safety PLC (e.g. Pilz PNOZ) monitors all safety devices and issues safe torque off (STO) to robot drives within 50ms of intrusion detection. Tote conveyor access ports sized for 600x400mm totes with photoelectric muting for tote passage. |
| Pick Planning and Optimization Module | 41B73308 | Real-time pick sequence optimization software running on an industrial PC within the robotic picking cell. Receives pick lists from the WMS Task Allocation Engine, receives grasp candidates from the vision system, and computes optimal pick sequences to minimize cycle time and arm travel. Implements bin-packing algorithms for destination tote placement. Handles exception routing for unrecognizable or ungraspable items (diverts to manual pick station). Target: compute pick plan for 20-item batch in <200ms. Interfaces with robot controller via EtherCAT. |
| Put-Away Assignment Engine | 41F73B08 | Software module within the goods receiving workflow that determines optimal storage location for each received item in an automated warehouse with 100,000+ SKU locations across ambient, chilled, and hazmat zones. Considers item classification (temperature zone, hazmat class, weight), storage density targets, slotting velocity (fast movers near pick stations, slow movers in deep storage), zone capacity, and AS/RS aisle load balancing. Runs as a service called by WMS on each item receipt. Generates tote routing instructions for the inbound conveyor directing totes to the correct AS/RS aisle I/O station. Optimizes for minimum travel distance while maintaining zone segregation rules. Re-slotting engine runs nightly to rebalance based on demand pattern changes. |
| Real-time Dashboard and Reporting Server | 51E57308 | Operational monitoring and business intelligence server for automated warehouse management. Provides real-time dashboards showing warehouse throughput (orders/hour, lines/hour, units/hour), equipment utilization (AMR fleet utilization, AS/RS cycle rates, conveyor throughput), and SLA compliance (order-to-ship time, pick accuracy, inventory accuracy). Streams live data via WebSocket to browser-based dashboards refreshing at 5-second intervals. Generates scheduled reports (daily throughput, weekly SLA, monthly inventory valuation) in PDF and CSV. Triggers operational alerts for threshold breaches (throughput drop >20%, equipment fault, SLA at risk) via email and SMS. Built on time-series database (TimescaleDB) with Grafana-based visualization layer. Interfaces with all WMS modules via event bus for metric collection. |
| Receiving Barcode and RFID Scanner Array | D5E77008 | Automated identification system at goods receiving for an automated warehouse. Fixed-mount omnidirectional barcode scanners and RFID portal readers at the transition point between manual unloading area and inbound conveyor. Scans each item/case as it is placed into receiving totes, matching scanned barcodes against WMS purchase order line items in real-time. Supports GS1-128, EAN-13, UPC-A barcode formats and EPC Gen2 UHF RFID tags. Provides immediate visual/audio feedback for scan success, PO mismatch, or unknown item. Scan rate: 600 items per hour per scanner with 99.8% first-pass read rate. Integrates with Inventory Database for immediate stock receipt posting. |
| Robotic Pick Arm | DFF53018 | 6-axis articulated industrial robot arm (e.g. Fanuc M-10iD class) within a robotic picking cell. Rated payload 10kg, reach 1.4m, repeatability ±0.03mm. Performs pick-and-place operations from source bins to destination totes at target rate of 900+ picks per hour. Receives grasp pose commands from the pick planning module and executes Cartesian or joint-space trajectories. Integrated force-torque sensor at wrist for grasp confirmation and collision detection. Operates within a safety-fenced cell with light curtains for human intrusion detection. |
| Robotic Picking System | 55F73018 | Automated piece-picking stations using 6-axis industrial robot arms (Fanuc CRX or equivalent collaborative robots) with multi-modal grippers (vacuum suction cups and parallel-jaw fingers). Each station has overhead 3D vision (structured light) for bin content recognition and grasp planning. Handles items from 10g to 5kg, dimensions 20mm to 400mm. Target pick rate 900 items/hour per station with 99.5% grasp success rate. 8 pick stations operating in parallel. Items presented in source totes by AMR, picked into order totes on adjacent conveyor. Machine learning-based grasp planner retrained weekly on failure cases. Safety-rated to ISO 10218-2 with collaborative speed/force limits. |
| Safety and Collision Avoidance System | 51F77859 | SIL-2 rated personnel safety system for warehouse AMRs in mixed human-robot environments. Dual-channel safety-rated 2D LiDAR with 270-degree coverage, safety bumper strips, dedicated safety PLC separate from navigation compute. Three protective zones: warning at 2.5 m, protective at 1.0 m, bumper contact triggering safe torque off. ISO 3691-4 and ISO 13849 PLd compliant. Emergency stop under 200 ms. |
| Shipping Label and Documentation Printer | D4E57018 | High-speed thermal transfer label printer and document insertion system for outbound dispatch in an automated warehouse. Prints carrier-compliant shipping labels (GS1-128 barcode, QR code, address block) at 200mm/s on 100x150mm labels. Supports multiple carrier formats (DHL, FedEx, UPS, local postal) selected per order by WMS. Also prints packing slips and customs documentation for international shipments. Inline label applicator applies label to carton top face after sealing. Verify-after-print barcode scanner confirms label readability before carton proceeds. Throughput: 240 labels per hour per station with zero-tolerance for misapplied labels. |
| Task Allocation and Dispatch Engine | 41B77B08 | Real-time task generation and resource assignment engine within an automated warehouse WMS. Converts order waves into discrete work tasks (pick, putaway, replenishment, cycle-count) and dispatches them to the appropriate execution resource: AMR fleet via Fleet Management Server, AS/RS via AS/RS Control System, conveyor system via PLC interface, or human operators via handheld RF terminals. Implements priority queuing with configurable urgency levels (express, standard, bulk), resource load balancing across AMR fleet and operator pools, and task interleaving (combined pick-putaway cycles). Processes 2,000+ task assignments per hour. Monitors task completion and handles exceptions (timeout, failure, partial completion) with automatic re-dispatch. |
| Telescoping Fork Load Handler | DFD51018 | Electromechanical load handler on stacker crane carriage. Three-stage telescoping fork with 600mm extension for single-deep racking both sides. Belt-driven stepper motor, 1.5s full extension/retraction. Optical tote-presence sensors on fork and at racking position. 50kg capacity, less than 2mm deflection at full extension. Anti-slip surface and centering guides. |
| Vertical Reciprocating Conveyors | DDC53258 | Servo-driven vertical lift units connecting mezzanine levels to ground-floor conveyor lines. Each VRC handles totes up to 35kg with 6-second cycle time per lift operation across 4-6 meter vertical travel. Includes safety interlocking per EN 81-31 with light curtains at load/unload openings. Typically 2-4 units per mezzanine level depending on throughput requirements. |
| Vision and Item Recognition System | 55F77008 | Machine vision subsystem within a robotic picking cell in an automated warehouse. Uses 2D/3D cameras (structured light and RGB) mounted above the pick bin to identify items, estimate 6-DoF pose, and determine optimal grasp points. Processes images at 10+ fps using deep learning inference on edge GPU. Must handle SKU variety exceeding 50,000 items with variable geometry, reflective packaging, and deformable items. Outputs grasp pose candidates ranked by confidence score to the pick planning module. Operating in controlled lighting with anti-glare enclosures. |
| Warehouse Management System | 51B77B08 | Central software platform orchestrating all warehouse operations. Receives orders from upstream ERP via REST/EDI, performs wave planning and order batching, assigns tasks to AMRs and AS/RS, tracks inventory at bin-level granularity across 100,000+ SKUs, manages labour allocation for manual stations, provides real-time dashboards and KPIs. Runs on redundant on-premise servers with 99.99% uptime target. Interfaces with every other subsystem via message broker (RabbitMQ/Kafka). Handles 50,000 order lines/hour at peak. |
| Weight and Dimension Verification Station | 54A72818 | Inline quality gate on the outbound conveyor line verifying packed carton weight and dimensions against expected values from the WMS order record. Uses dynamic weighing scale (±5g accuracy at 1.5m/s conveyor speed) and overhead 3D dimensioning camera (±5mm accuracy). Compares measured weight against expected weight (sum of item weights plus packaging) with configurable tolerance (default ±50g). Flags overweight/underweight cartons for divert to exception handling lane. Dimension check validates carton fits within carrier maximum dimensions. Processes 2,400 cartons per hour without stopping conveyor flow. |
| Wireless Communication Infrastructure | 54E57018 | Industrial WiFi 6 network for real-time AMR fleet connectivity in 20000+ sqm warehouse. Ceiling-mounted APs on 20 m grid with 802.11r fast roaming. Dual-band with 5 GHz primary for robot control. Under 10 ms RTT latency for pose reporting and commands. QoS for safety-critical traffic. Supports 80+ simultaneous robot connections. Redundant controller with automatic failover. |
| Zone Conveyor Segments | DEE51018 | Modular roller and belt conveyor sections forming the primary material transport backbone between warehouse zones. Each segment is 3-6 meters long with variable-speed 24V DC roller drives, supporting totes up to 35kg at speeds between 0.5-2.0 m/s. Segments include zone-to-zone accumulation logic (zero-pressure accumulation) preventing tote collisions during queuing. Operates in ambient (15-25C) and chilled (2-8C) environments with IP54-rated drives. |
| Component | Belongs To |
|---|---|
| Warehouse Management System | Automated Warehouse |
| Automated Storage and Retrieval System | Automated Warehouse |
| Autonomous Mobile Robot Fleet | Automated Warehouse |
| Material Handling Conveyor System | Automated Warehouse |
| Robotic Picking System | Automated Warehouse |
| Goods Receiving System | Automated Warehouse |
| Packing and Dispatch System | Automated Warehouse |
| Building Management and Safety System | Automated Warehouse |
| Mini-Load Stacker Crane | Automated Storage and Retrieval System |
| High-Density Storage Racking | Automated Storage and Retrieval System |
| AS/RS I/O Conveyor Station | Automated Storage and Retrieval System |
| AS/RS Control System | Automated Storage and Retrieval System |
| Crane Position Sensing System | Automated Storage and Retrieval System |
| Telescoping Fork Load Handler | Automated Storage and Retrieval System |
| AMR Vehicle Platform | Autonomous Mobile Robot Fleet |
| Navigation and Localization System | Autonomous Mobile Robot Fleet |
| Fleet Management Server | Autonomous Mobile Robot Fleet |
| Safety and Collision Avoidance System | Autonomous Mobile Robot Fleet |
| Wireless Communication Infrastructure | Autonomous Mobile Robot Fleet |
| Battery Management and Charging System | Autonomous Mobile Robot Fleet |
| Payload Handling Mechanism | Autonomous Mobile Robot Fleet |
| Order Processing Engine | Warehouse Management System |
| Inventory Database and Location Engine | Warehouse Management System |
| Task Allocation and Dispatch Engine | Warehouse Management System |
| ERP and External Integration Gateway | Warehouse Management System |
| Real-time Dashboard and Reporting Server | Warehouse Management System |
| Zone Conveyor Segments | Material Handling Conveyor System |
| Merge and Divert Units | Material Handling Conveyor System |
| Conveyor PLC Control Network | Material Handling Conveyor System |
| Barcode and RFID Scanning Stations | Material Handling Conveyor System |
| Vertical Reciprocating Conveyors | Material Handling Conveyor System |
| Vision and Item Recognition System | Robotic Picking System |
| Robotic Pick Arm | Robotic Picking System |
| End-Effector and Gripper System | Robotic Picking System |
| Pick Planning and Optimization Module | Robotic Picking System |
| Pick Cell Safety Enclosure | Robotic Picking System |
| Fire Detection and Suppression System | Building Management and Safety System |
| Access Control and Intrusion Detection System | Building Management and Safety System |
| HVAC and Environmental Monitoring System | Building Management and Safety System |
| Emergency Shutdown and Evacuation System | Building Management and Safety System |
| Building Management Controller | Building Management and Safety System |
| Lighting Control System | Building Management and Safety System |
| Automated Packing Station | Packing and Dispatch System |
| Shipping Label and Documentation Printer | Packing and Dispatch System |
| Weight and Dimension Verification Station | Packing and Dispatch System |
| Outbound Sortation System | Packing and Dispatch System |
| Dispatch Dock Management System | Packing and Dispatch System |
| Inbound Dock and Unloading Station | Goods Receiving System |
| Inbound Quality Inspection Station | Goods Receiving System |
| Receiving Barcode and RFID Scanner Array | Goods Receiving System |
| Put-Away Assignment Engine | Goods Receiving System |
| Inbound Conveyor Interface | Goods Receiving System |
| From | To |
|---|---|
| AS/RS Control System | Mini-Load Stacker Crane |
| AS/RS Control System | Warehouse Management System |
| AS/RS I/O Conveyor Station | Material Handling Conveyor System |
| Crane Position Sensing System | AS/RS Control System |
| Fleet Management Server | Navigation and Localization System |
| Safety and Collision Avoidance System | AMR Vehicle Platform |
| Payload Handling Mechanism | Material Handling Conveyor System |
| Fleet Management Server | Warehouse Management System |
| Battery Management and Charging System | Fleet Management Server |
| Order Processing Engine | Inventory Database and Location Engine |
| Order Processing Engine | Task Allocation and Dispatch Engine |
| ERP and External Integration Gateway | Order Processing Engine |
| Task Allocation and Dispatch Engine | Inventory Database and Location Engine |
| Real-time Dashboard and Reporting Server | Order Processing Engine |
| Real-time Dashboard and Reporting Server | Task Allocation and Dispatch Engine |
| Task Allocation and Dispatch Engine | AS/RS Control System |
| Task Allocation and Dispatch Engine | Fleet Management Server |
| Conveyor PLC Control Network | Zone Conveyor Segments |
| Conveyor PLC Control Network | Merge and Divert Units |
| Barcode and RFID Scanning Stations | Merge and Divert Units |
| Barcode and RFID Scanning Stations | Inventory Database and Location Engine |
| Conveyor PLC Control Network | Vertical Reciprocating Conveyors |
| Vision and Item Recognition System | Pick Planning and Optimization Module |
| Pick Planning and Optimization Module | Robotic Pick Arm |
| Robotic Pick Arm | End-Effector and Gripper System |
| Pick Cell Safety Enclosure | Robotic Pick Arm |
| End-Effector and Gripper System | Vision and Item Recognition System |
| Pick Planning and Optimization Module | Task Allocation and Dispatch Engine |
| Robotic Picking System | Material Handling Conveyor System |
| Fire Detection and Suppression System | Building Management Controller |
| Fire Detection and Suppression System | Emergency Shutdown and Evacuation System |
| Access Control and Intrusion Detection System | Building Management Controller |
| Access Control and Intrusion Detection System | Emergency Shutdown and Evacuation System |
| HVAC and Environmental Monitoring System | Building Management Controller |
| HVAC and Environmental Monitoring System | Fire Detection and Suppression System |
| Emergency Shutdown and Evacuation System | Building Management Controller |
| Lighting Control System | Building Management Controller |
| Lighting Control System | Emergency Shutdown and Evacuation System |
| Building Management Controller | Warehouse Management System |
| Automated Packing Station | Shipping Label and Documentation Printer |
| Shipping Label and Documentation Printer | Weight and Dimension Verification Station |
| Weight and Dimension Verification Station | Outbound Sortation System |
| Outbound Sortation System | Dispatch Dock Management System |
| Automated Packing Station | Material Handling Conveyor System |
| Outbound Sortation System | Warehouse Management System |
| Dispatch Dock Management System | ERP and External Integration Gateway |
| Inbound Dock and Unloading Station | Inbound Quality Inspection Station |
| Inbound Quality Inspection Station | Receiving Barcode and RFID Scanner Array |
| Receiving Barcode and RFID Scanner Array | Inventory Database and Location Engine |
| Put-Away Assignment Engine | Inventory Database and Location Engine |
| Inbound Conveyor Interface | Material Handling Conveyor System |
| Receiving Barcode and RFID Scanner Array | Put-Away Assignment Engine |
| Put-Away Assignment Engine | Inbound Conveyor Interface |
| Inbound Dock and Unloading Station | ERP and External Integration Gateway |
| Component | Output |
|---|---|
| Mini-Load Stacker Crane | stored/retrieved totes at 200 dual-command cycles per hour |
| AS/RS Control System | crane movement commands, storage location assignments, cycle optimisation |
| Crane Position Sensing System | real-time position data at 100Hz, safety interlock signals |
| Navigation and Localization System | real-time 6-DoF pose estimates at 50 Hz, map updates |
| Fleet Management Server | task assignments, planned paths, fleet status reports |
| Safety and Collision Avoidance System | safe-speed limits, emergency stop signals, zone violation alerts |
| Order Processing Engine | pick waves, order allocations, order status events |
| Inventory Database and Location Engine | real-time stock levels, location assignments, reservation confirmations, cycle count discrepancies |
| Task Allocation and Dispatch Engine | task assignments to AMR/AS-RS/operators, task completion events, exception alerts |
| ERP and External Integration Gateway | transformed inbound orders, outbound ASN/shipping confirmations, carrier labels |
| Real-time Dashboard and Reporting Server | KPI dashboards, threshold alerts, scheduled reports |
| Zone Conveyor Segments | tote transport between zones, accumulation queuing |
| Merge and Divert Units | sorted tote routing to destination lanes, sort confirmation events |
| Conveyor PLC Control Network | zone handoff coordination, transport status, emergency stop propagation |
| Barcode and RFID Scanning Stations | tote identification events, location tracking updates, sort decisions |
| Vertical Reciprocating Conveyors | inter-level tote transport, level transition events |
| Vision and Item Recognition System | item identification, 6-DoF grasp pose candidates, SKU classification confidence scores |
| Robotic Pick Arm | pick-and-place motion execution, grasp confirmation events, cycle time telemetry |
| End-Effector and Gripper System | grasp force feedback, vacuum pressure readings, grasp success/failure signals |
| Pick Planning and Optimization Module | optimized pick sequences, exception routing decisions, pick rate metrics |
| Pick Cell Safety Enclosure | safety interlock status, intrusion detection alerts, emergency stop signals |
| Fire Detection and Suppression System | fire-alarm-signals |
| Building Management Controller | coordinated-zone-control-commands |
| HVAC and Environmental Monitoring System | environmental-condition-data |
| Outbound Sortation System | sorted-cartons-by-carrier |
| Dispatch Dock Management System | shipment-manifests |