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Challenge

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.

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Challenge brief

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.

Rules

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.

Delivery guide

How work is evaluated

Evaluation

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.

Submission format

Runnable source, pinned dependencies, setup commands, working interface, example outputs, recorded demo, tests, and action logs.

Datasets

Challenge datasets

Public datasets, plus the private datasets you have access to.

Evaluation rubric

How submissions are scored

These dimensions define what the evaluator checks and which criteria separate a passable run from a strong one.

Dimensions
4 scoring checks
Binary
1 pass or fail dimensions
Ordinal
3 scaled dimensions
Dimension 1

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.

Score scale
012
Score 0

Missing or incorrect.

Score 1

Partly complete, with documented gaps.

Score 2

Complete, with reproducible evidence.

Dimension 2

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.

Score scale
012
Score 0

Missing or incorrect.

Score 1

Partly complete, with documented gaps.

Score 2

Complete, with reproducible evidence.

Dimension 3

Review interface

Genealogy graph explorer showing forward and reverse lot relationships, affected item totals, and quarantine export tables.

Score scale
012
Score 0

Missing or incorrect.

Score 1

Partly complete, with documented gaps.

Score 2

Complete, with reproducible evidence.

Dimension 4

Safe execution

Operates strictly in an offline rehearsal mode on historical lot logs without triggering physical warehouse lockouts.

Binary check

This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.

Learning goals

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.

Resources and assets

Reference links and supporting material

Dataset notes

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.

Evaluation checks
  • 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...
Configured evaluation evidence
  • 2 public reference cases
Configured runtime
  • 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

Action Space
  • LangGraph · Optional
Orchestration
  • 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.

Frequently Asked Questions about Build a Production Lot Genealogy and Recall Rehearsal Engine