Abstract
We consider a continuous-time variant of the inventory-routing problem in which the maximum quantity that can delivered to a customer depends on the customer's storage capacity and product inventory at the time of the delivery. We investigate critical components of a dynamic discretization discovery algorithm and demonstrate in an extensive computational study that these components are sufficient to produce provably high-quality, often optimal solutions.
| Original language | English |
|---|---|
| Pages (from-to) | 375-399 |
| Number of pages | 25 |
| Journal | Transportation Science |
| Volume | 54 |
| Issue number | 2 |
| DOIs | |
| State | Published - 2020 |
| Externally published | Yes |
Keywords
- Inventory routing
- Mixed integer programming
- Time-expanded network