Skip to main content
Challenge

Build an Industrial WIP Bottleneck Tracker and Dispatch Planner

Track serialized work-in-progress pallets through simulated open62541 station buffers. Generate dynamic lot dispatch proposals to eliminate workstation starvation and line imbalances.

EngineeringHosted by Vera
Challenge brief

What you are building

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

Track serialized work-in-progress pallets through simulated open62541 station buffers. Generate dynamic lot dispatch proposals to eliminate workstation starvation and line imbalances.

Plant Production Dispatcher

Extract station buffer occupancy and machine operational states from open62541 snapshots.

Calculate queue dwelling times and upstream buffer accumulation rates.

Detect developing bottlenecks where buffer utilization exceeds operational safety margins.

Synthesize re-routing dispatch proposals for downstream work-in-progress lots.

Kanban-style station queue visualization with queue latency heatmaps and dispatch action approvals.

Mock time-series data reflecting factory buffer capacities, lot arrival timestamps, and station processing rates. Starter examples below are synthetic. They are not downloaded records.

open62541 OPC UA Reads structured equipment state arrays and station buffer queues via open62541 data models.

agno, pandas, fastapi. Agno provides lightweight agent orchestration to monitor multiple station buffer queues and propose dispatch schedules. Requires capability to evaluate mathematical constraints and schedule balancing heuristics.

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 the primary bottleneck station based on queue dwell time.

Proposes dispatch routing that diverts WIP to alternate available stations.

Rejects dispatch reroutes when alternate buffers exceed 85% utilization.

```json [ { "input": { "line_id": "ASSEMBLY-02", "stations": [ { "station_id": "ST-10", "buffer_capacity": 10, "current_wip": 9, "avg_dwell_min": 14.2, "status": "BLOCKED" }, { "station_id": "ST-20A", "buffer_capacity": 10, "current_wip": 8, "avg_dwell_min": 12, "status": "RUNNING" }, { "station_id": "ST-20B", "buffer_capacity": 10, "current_wip": 2, "avg_dwell_min": 3.1, "status": "RUNNING" } ], "pending_lots": [ "LOT-881", "LOT-882" ] }, "expected_output": { "bottleneck_station": "ST-10", "dispatch_action": "DIVERT_LOTS", "target_station": "ST-20B", "rebalanced_wip_projected": 4, "alert_level": "WARNING" } }, { "input": { "line_id": "ASSEMBLY-02", "stations": [ { "station_id": "ST-10", "buffer_capacity": 10, "current_wip": 3, "avg_dwell_min": 2, "status": "RUNNING" }, { "station_id": "ST-20A", "buffer_capacity": 10, "current_wip": 4, "avg_dwell_min": 2.5, "status": "RUNNING" }, { "station_id": "ST-20B", "buffer_capacity": 10, "current_wip": 3, "avg_dwell_min": 2.2, "status": "RUNNING" } ], "pending_lots": [ "LOT-883" ] }, "expected_output": { "bottleneck_station": "NONE", "dispatch_action": "PROCEED_STANDARD", "target_station": "ST-20A", "rebalanced_wip_projected": 5, "alert_level": "NOMINAL" } } ] ```

Read-only simulation producing dispatch proposals; final dispatch decisions require human operator sign-off. Use mock external writes. Require human review before any real deployment.

Rules

Participation guide

Read-only simulation producing dispatch proposals; final dispatch decisions require human operator sign-off. Use mock external writes and human review.

Delivery guide

How work is evaluated

Evaluation

Identifies the primary bottleneck station based on queue dwell time. Proposes dispatch routing that diverts WIP to alternate available stations. Rejects dispatch reroutes when alternate buffers exceed 85% utilization.

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 station buffer occupancy and machine operational states from open62541 snapshots. Calculate queue dwelling times and upstream buffer accumulation rates. Detect developing bottlenecks where buffer utilization exceeds operational safety margins. Synthesize re-routing dispatch proposals for downstream work-in-progress lots.

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 the primary bottleneck station based on queue dwell time. Proposes dispatch routing that diverts WIP to alternate available stations. Rejects dispatch reroutes when alternate buffers exceed 85% utilization.

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

Kanban-style station queue visualization with queue latency heatmaps and dispatch action approvals.

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

Read-only simulation producing dispatch proposals; final dispatch decisions require human operator sign-off.

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 station buffer occupancy and machine operational states from open62541 snapshots.

  • Calculate queue dwelling times and upstream buffer accumulation rates.

  • Detect developing bottlenecks where buffer utilization exceeds operational safety margins.

  • Synthesize re-routing dispatch proposals for downstream work-in-progress lots.

Resources and assets

Reference links and supporting material

Dataset notes

Mock time-series data reflecting factory buffer capacities, lot arrival timestamps, and station processing rates. Supplied starter examples are synthetic, not source extracts.

Challenge setup

Configuration summary for this challenge.

Challenge input

Input details are not configured.

Agno

Framework for multimodal agents.

Evaluated output

No output checks are configured.

Evaluation checks
  • Extract station buffer occupancy and machine operational states from open62541 snapshots. Calculate queue d...
  • Identifies the primary bottleneck station based on queue dwell time. Proposes dispatch routing that diverts...
  • Kanban-style station queue visualization with queue latency heatmaps and dispatch action approvals.
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
  • Agno · Optional
Orchestration
  • Agno · 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 an Industrial WIP Bottleneck Tracker and Dispatch Planner