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1145. Optimization of Road Transport With Crossdocks: A Case Study at Inditex With Matheuristics
Invited abstract in session MD-58: Real-Life Applications in Routing, stream VeRoLog - Vehicle Routing and Logistics.
Monday, 14:30-16:00Room: S07 (building: 101)
Authors (first author is the speaker)
| 1. | Julio Lopez
|
| Analytics, Inditex | |
| 2. | Julio González-Díaz
|
| Statistics, Mathematical Analysis and Optimization, University of Santiago de Compostela | |
| 3. | Telmo Costa Carballo
|
| Analytics, Inditex |
Abstract
With a complex network of warehouses and depots, optimizing ground transportation is a goal for sustainability and efficiency. Our problem aligns with CVRPTW, a Vehicle Routing Problem with Limited Capacity and Time Windows for pickup and delivery. However, since most warehouses must deliver to most depots, freight exchanges at predetermined nodes in the network play a leading role in an optimal solution to the problem.
To tackle this challenge, our initial approach involved modeling the problem using direct mixed integer and linear programming techniques. We carefully tailored the model to meet our additional requirements, with emphasis on accurately representing the exchange of cargo at designated points.
However, as expected, this problem with our logistics network and crossover points is not solvable in our time requirements due to its inherent computational complexity. To address this challenge and speed up the solving process, we explored some math-heuristic approaches, acknowledging potential compromises in optimality.
Keywords
- Vehicle Routing
- Practice of OR
- Programming, Mixed-Integer
Status: accepted
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