---
license: mit
tags:
- operations-research
- optimization
- supply-chain
- logistics
- cross-docking
- scheduling
language:
- en
size_categories:
- 1K<n<10K
---

# 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 parameters
- `schedule` — CP-SAT optimized dock assignments and KPIs
- `simulation` — SimPy robustness evaluation
- `network` — material flow graph statistics

## Generation

Scenarios are synthetically generated with reproducible seeds. No external data downloads required.