alirezaaminzadeh/warehouse-process-mining-benchmark

Warehouse Process Mining Benchmark

Benchmark results for WareFlowTwin process mining and optimization, aligned with VillanovaAI/Temporal_Logistics_Inventory_Movements.

Contents

File	Description
manifest.json	Dataset metadata
eval_results.json	Aggregate benchmark metrics
warehouse_*.json	Per-instance process mining + optimization results

Pipeline Evaluated

1. Event log construction (lot_id, case_id, activity, timestamp, warehouse, location, quantity)
2. PM4Py inductive miner + conformance fitness
3. Bottleneck detection (waiting, rework, transfers, slow aisles, shipment delay)
4. OR-Tools slotting + optimization recommendations
5. SimPy digital twin simulation

Metrics

Metric	Description
fitness	Process conformance fitness (0–1)
bottleneck_count	Detected bottleneck signals per instance
top_gain_pct	Expected gain from top optimization action
lead_time_reduction_pct	Digital twin lead-time improvement

Related Resources

• Interactive Digital Twin
• Optimization Advisor
• Source Movements Dataset

Citation

@dataset{warehouse_process_mining_benchmark,
  title={Warehouse Process Mining Benchmark},
  author={WareFlowTwin Engineering},
  year={2026},
  publisher={Hugging Face},
  howpublished={\\url{https://huggingface.co/datasets/alirezaaminzadeh/warehouse-process-mining-benchmark}}
}