Aria AI Operations Research Portfolio
Collection
Enterprise OR, optimization, and decomposition demos by Aria AI • 136 items • Updated
benchmarks list | solver string | simulation_engine string |
|---|---|---|
[
{
"scenario": "retail_dc",
"algorithm": "cp_sat",
"turnaround_min": 52.4,
"dock_utilization_pct": 19.1,
"missed_departures": 0,
"cross_dock_count": 2,
"solve_time_sec": 0.042
},
{
"scenario": "cold_chain",
"algorithm": "cp_sat",
"turnaround_min": 53.2,
"dock_utilizati... | cp_sat | simpy |
YardDock Sample Scenarios
Synthetic distribution center scenarios for yard, dock, and cross-docking optimization benchmarking.
Files
| File | Description |
|---|---|
sample_retail_dc.json |
Retail distribution center |
sample_cold_chain.json |
Temperature-controlled cold chain hub |
sample_ecommerce_fulfillment.json |
E-commerce parcel sortation hub |
sample_industrial_crossdock.json |
Industrial LTL cross-dock |
manifest.json |
Dataset manifest |
eval_results.json |
Benchmark results |
Schema
Each sample contains:
summary— facility parametersschedule— CP-SAT optimized dock assignments and KPIssimulation— SimPy robustness evaluationnetwork— material flow graph statistics
Generation
Scenarios are synthetically generated with reproducible seeds. No external data downloads required.
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