Build a Production Lot Genealogy and Recall Rehearsal Engine
Trace serialized component consumption across sub-assemblies by parsing open62541 OPC UA lot tracking nodes. Generate containment blast-radius reports and supplier recall rehearsal dossiers for quality compliance teams.
What you are building
The core problem, expected build, and operating context for this challenge.
Trace serialized component consumption across sub-assemblies by parsing open62541 OPC UA lot tracking nodes. Generate containment blast-radius reports and supplier recall rehearsal dossiers for quality compliance teams.
Quality Assurance Manager
Ingest simulated OPC UA node variable hierarchies detailing component lot bindings and parent sub-assemblies.
Traverse upstream and downstream parent-child lot relations to map the complete production genealogy tree.
Calculate the defect blast radius given a simulated quarantine lot identifier.
Generate a structured recall rehearsal packet specifying quarantined serialized units and warehouse locations.
Genealogy graph explorer showing forward and reverse lot relationships, affected item totals, and quarantine export tables.
Simulated multi-tier bills of materials and lot binding records provided as JSON fixtures matching open62541 variable schemas. Starter examples below are synthetic. They are not downloaded records.
open62541 OPC UA OPC UA information model node attributes and variable browse paths from open62541 core node storage.
langgraph, pydantic, networkx. Manages cyclic parent-child lot traversal graph state and recursive genealogy tree expansion. Structured LLM capable of generating clean compliance audit reports from nested JSON trees.
Submit runnable source, pinned dependencies, setup commands, a working interface, example outputs, and a recorded end-to-end demo. Include tests and an action log.
Traverses multi-level lot trees up to 5 tiers without cycle deadlocks.
Identifies 100% of downstream units associated with a designated bad lot.
Outputs ISO 9001 audit-compliant containment action plans in structured JSON.
```json [ { "input": { "quarantined_lot": "LOT-STEEL-402", "genealogy_records": [ { "lot_id": "LOT-STEEL-402", "parent_subassembly": "SUB-CHASSIS-11", "station": "ST_PRESS_01" }, { "lot_id": "SUB-CHASSIS-11", "parent_subassembly": "FINAL-VEHICLE-8801", "station": "ST_FINAL_02" }, { "lot_id": "SUB-CHASSIS-11", "parent_subassembly": "FINAL-VEHICLE-8802", "station": "ST_FINAL_02" } ] }, "expected_output": { "quarantine_id": "LOT-STEEL-402", "impacted_subassemblies": [ "SUB-CHASSIS-11" ], "impacted_final_units": [ "FINAL-VEHICLE-8801", "FINAL-VEHICLE-8802" ], "containment_action": "HOLD_SHIPMENT" } }, { "input": { "quarantined_lot": "LOT-RESISTOR-99", "genealogy_records": [ { "lot_id": "LOT-RESISTOR-99", "parent_subassembly": "PCB-MOD-01", "station": "ST_SMT_04" } ] }, "expected_output": { "quarantine_id": "LOT-RESISTOR-99", "impacted_subassemblies": [ "PCB-MOD-01" ], "impacted_final_units": [], "containment_action": "QUARANTINE_WIP" } } ] ```
Operates strictly in an offline rehearsal mode on historical lot logs without triggering physical warehouse lockouts. Use mock external writes. Require human review before any real deployment.
Participation guide
Operates strictly in an offline rehearsal mode on historical lot logs without triggering physical warehouse lockouts. Use mock external writes and human review.
How work is evaluated
Traverses multi-level lot trees up to 5 tiers without cycle deadlocks. Identifies 100% of downstream units associated with a designated bad lot. Outputs ISO 9001 audit-compliant containment action plans in structured JSON.
Runnable source, pinned dependencies, setup commands, working interface, example outputs, recorded demo, tests, and action logs.
Challenge datasets
Public datasets, plus the private datasets you have access to.
How submissions are scored
These dimensions define what the evaluator checks and which criteria separate a passable run from a strong one.
Complete workflow
Ingest simulated OPC UA node variable hierarchies detailing component lot bindings and parent sub-assemblies. Traverse upstream and downstream parent-child lot relations to map the complete production genealogy tree. Calculate the defect blast radius given a simulated quarantine lot identifier. Generate a structured recall rehearsal packet specifying quarantined serialized units and warehouse locations.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Correctness and evidence
Traverses multi-level lot trees up to 5 tiers without cycle deadlocks. Identifies 100% of downstream units associated with a designated bad lot. Outputs ISO 9001 audit-compliant containment action plans in structured JSON.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Review interface
Genealogy graph explorer showing forward and reverse lot relationships, affected item totals, and quarantine export tables.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Safe execution
Operates strictly in an offline rehearsal mode on historical lot logs without triggering physical warehouse lockouts.
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
What you should walk away with
Ingest simulated OPC UA node variable hierarchies detailing component lot bindings and parent sub-assemblies.
Traverse upstream and downstream parent-child lot relations to map the complete production genealogy tree.
Calculate the defect blast radius given a simulated quarantine lot identifier.
Generate a structured recall rehearsal packet specifying quarantined serialized units and warehouse locations.
Reference links and supporting material
Simulated multi-tier bills of materials and lot binding records provided as JSON fixtures matching open62541 variable schemas. Supplied starter examples are synthetic, not source extracts.
Challenge setup
Configuration summary for this challenge.
Challenge input
Input details are not configured.
LangGraph
Runtime for stateful agent workflows.
Evaluated output
No output checks are configured.
- Ingest simulated OPC UA node variable hierarchies detailing component lot bindings and parent sub-assemblie...
- Traverses multi-level lot trees up to 5 tiers without cycle deadlocks. Identifies 100% of downstream units...
- Genealogy graph explorer showing forward and reverse lot relationships, affected item totals, and quarantin...
- 2 public reference cases
- 2 configured tools
Summary shows the first task, up to three tools, and up to three evidence items. Open the technical recipe to view all configured items.
View technical recipe
Configured tools
- LangGraph · Optional
- LangGraph · Optional
Evaluation contract
- Complete workflow · Weight 40
- Correctness and evidence · Weight 30
- Review interface · Weight 20
- Safe execution · Weight 10
Reference cases
- 2 public reference cases
Workflow tasks
No workflow tasks are configured.
Recipe freeze marker
No recipe freeze time is recorded.