Continent-scale inventory routing solutions
<p>This dataset of inventory routing solutions is a fruit of our partnership between Renault Group and the CERMICS laboratory at Ecole des Ponts. The related instances (also publicly available) are continent-scale with hundreds of customers, 21 days horizon, and 15 depots on average. Routes can last several days (continuous-time), and 30 types of commodities are involved, leading to bin packing problems when filling trucks. In our paper "Solving a Continent-Scale Inventory Routing Problem at Renault" we introduce a new large neighborhood search to solve those instances. This dataset contains the solutions provided both by our algorithm and by a benchmark we implement, as shown in the computational experiments section of our paper. We hope that sharing them publicly will motivate research on real-world and large-scale inventory routing. Environmental and economical impacts at stake are substantial.</p>
ShareScore
36/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 0
Topics
Dataset details
- Repository
- zenodo
- Published
- December 31, 2022
- License
- cc-by-4.0
- DOI
- 10.5281/zenodo.8177270
Scored with release 0.9.0
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