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Challenge

Build a WIP Routing and Tooling Bottleneck Dispatch Coordinator

Evaluate machine tooling wear and work-in-progress queue accumulation across simulated manufacturing cells. Synthesize dynamic lot rerouting proposals to bypass impending tooling changes.

EngineeringHosted by Vera
Challenge brief

What you are building

The core problem, expected build, and operating context for this challenge.

Evaluate machine tooling wear and work-in-progress queue accumulation across simulated manufacturing cells. Synthesize dynamic lot rerouting proposals to bypass impending tooling changes.

Production Shift Coordinator

Extract tooling life counters and buffer wait queues from simulated open62541 server endpoints.

Predict upcoming tooling change lockouts that will interrupt line flow within two hours.

Evaluate alternative routing lines against current work-in-progress queue depths.

Generate an optimized lot dispatch schedule that minimizes line idle time during tooling swaps.

Production dispatch dashboard highlighting machine tool life countdowns, buffer bottlenecks, and re-routing suggestions.

JSON streams detailing CNC tool wear percentages, remaining cycle life, and queue counts from open62541 servers. Starter examples below are synthetic. They are not downloaded records.

open62541 OPC UA Extracts tool usage indices and queue attributes from open62541 server information models.

anthropic-claude, pandas, fastapi. Claude Sonnet provides rapid and nuanced multi-constraint scheduling trade-off evaluation via hosted API. Hosted Claude API using Anthropic Python SDK to reason over shop floor schedules and tooling constraints.

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.

Identifies machines within 10% of mandatory tooling replacement lockouts.

Proposes lot dispatches that divert high-volume parts away from impending changeovers.

Produces a validated dispatch table ready for shift supervisor review.

```json [ { "input": { "machines": [ { "machine_id": "CNC-01", "tool_life_remaining_cycles": 12, "wip_queue": 15, "cycle_time_min": 3 }, { "machine_id": "CNC-02", "tool_life_remaining_cycles": 150, "wip_queue": 2, "cycle_time_min": 3.2 } ], "incoming_batch": { "batch_id": "BATCH-707", "lot_count": 8 } }, "expected_output": { "critical_machine": "CNC-01", "recommended_action": "DIVERT_TO_CNC-02", "dispatch_explanation": "CNC-01 will reach tool lockout in 12 cycles, causing WIP blockage; CNC-02 has capacity and tool life.", "projected_downtime_avoided_min": 25.6 } }, { "input": { "machines": [ { "machine_id": "CNC-01", "tool_life_remaining_cycles": 200, "wip_queue": 1, "cycle_time_min": 3 }, { "machine_id": "CNC-02", "tool_life_remaining_cycles": 180, "wip_queue": 1, "cycle_time_min": 3.2 } ], "incoming_batch": { "batch_id": "BATCH-708", "lot_count": 4 } }, "expected_output": { "critical_machine": "NONE", "recommended_action": "ROUTE_TO_CNC-01", "dispatch_explanation": "CNC-01 provides faster cycle time and ample tool life remaining.", "projected_downtime_avoided_min": 0 } } ] ```

Generates advisory routing proposals; actual machine dispatch commands are executed solely by human operators. Use mock external writes. Require human review before any real deployment.

Rules

Participation guide

Generates advisory routing proposals; actual machine dispatch commands are executed solely by human operators. Use mock external writes and human review.

Delivery guide

How work is evaluated

Evaluation

Identifies machines within 10% of mandatory tooling replacement lockouts. Proposes lot dispatches that divert high-volume parts away from impending changeovers. Produces a validated dispatch table ready for shift supervisor review.

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

Extract tooling life counters and buffer wait queues from simulated open62541 server endpoints. Predict upcoming tooling change lockouts that will interrupt line flow within two hours. Evaluate alternative routing lines against current work-in-progress queue depths. Generate an optimized lot dispatch schedule that minimizes line idle time during tooling swaps.

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

Identifies machines within 10% of mandatory tooling replacement lockouts. Proposes lot dispatches that divert high-volume parts away from impending changeovers. Produces a validated dispatch table ready for shift supervisor review.

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

Production dispatch dashboard highlighting machine tool life countdowns, buffer bottlenecks, and re-routing suggestions.

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

Generates advisory routing proposals; actual machine dispatch commands are executed solely by human operators.

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

  • Extract tooling life counters and buffer wait queues from simulated open62541 server endpoints.

  • Predict upcoming tooling change lockouts that will interrupt line flow within two hours.

  • Evaluate alternative routing lines against current work-in-progress queue depths.

  • Generate an optimized lot dispatch schedule that minimizes line idle time during tooling swaps.

Resources and assets

Reference links and supporting material

Dataset notes

JSON streams detailing CNC tool wear percentages, remaining cycle life, and queue counts from open62541 servers. Supplied starter examples are synthetic, not source extracts.

Challenge setup

Configuration summary for this challenge.

Challenge input

Input details are not configured.

Anthropic Claude

LLM for code generation & more

Evaluated output

No output checks are configured.

Evaluation checks
  • Extract tooling life counters and buffer wait queues from simulated open62541 server endpoints. Predict upc...
  • Identifies machines within 10% of mandatory tooling replacement lockouts. Proposes lot dispatches that dive...
  • Production dispatch dashboard highlighting machine tool life countdowns, buffer bottlenecks, and re-routing...
Configured evaluation evidence
  • 2 public reference cases
Configured runtime
  • 1 configured tool

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
  • Anthropic Claude · 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 WIP Routing and Tooling Bottleneck Dispatch Coordinator