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A Matheuristic with Fixed-Sequence Reoptimization for a Real-Life Inventory Routing Problem

Author

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  • Yun He

    (Laboratoire d’Analyse et d’Architecture des Systèmes, Centre National de la Recherche Scientifique, Université Paul Sabatier, Université de Toulouse, 31031 Toulouse Cedex 4, France; IMT Atlantique, 44307 Nantes Cedex 3, France; Laboratoire des Sciences de Numérique de Nantes, Centre National de la Recherche Scientifique, Unité Mixte de Recherche 6004, Université de Nantes, 44322 Nantes Cedex 3, France; School of Computer Science, University of Nottingham, Nottingham NG8 1BB, United Kingdom)

  • Christian Artigues

    (Laboratoire d’Analyse et d’Architecture des Systèmes, Centre National de la Recherche Scientifique, Université Paul Sabatier, Université de Toulouse, 31031 Toulouse Cedex 4, France)

  • Cyril Briand

    (Laboratoire d’Analyse et d’Architecture des Systèmes, Centre National de la Recherche Scientifique, Université Paul Sabatier, Université de Toulouse, 31031 Toulouse Cedex 4, France)

  • Nicolas Jozefowiez

    (Laboratoire de Conception, Optimisation et Modélisation des Systèmes, Université de Lorraine, Metz 57000, France)

  • Sandra Ulrich Ngueveu

    (Laboratoire d’Analyse et d’Architecture des Systèmes, Centre National de la Recherche Scientifique, INP Toulouse, Université de Toulouse, 31031 Toulouse Cedex 4, France)

Abstract

This paper proposes a matheuristic for solving a real-life inventory routing problem introduced in the ROADEF/EURO Challenge 2016. The method integrates a fixed-sequence mathematical program, two randomized greedy algorithms, and a column-generation-based heuristic. In particular, the paper discusses the performance of the fixed-sequence mathematical program, which considers a fixed sequence of customer visits and aims at (re)optimizing partial solutions by modifying arrival times and delivered or loaded quantities. Experiments show that the proposed algorithm for the fixed-sequence subproblem is efficient as a postoptimization process and is even able to improve the best solutions obtained during the challenge.

Suggested Citation

  • Yun He & Christian Artigues & Cyril Briand & Nicolas Jozefowiez & Sandra Ulrich Ngueveu, 2020. "A Matheuristic with Fixed-Sequence Reoptimization for a Real-Life Inventory Routing Problem," Transportation Science, INFORMS, vol. 54(2), pages 355-374, March.
    • Handle: RePEc:inm:ortrsc:v:54:y:2020:i:2:p:355-374
    DOI: 10.1287/trsc.2019.0954
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    References listed on IDEAS

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    1. Jean André & Eric Bourreau & Roberto Wolfler Calvo, 2020. "Introduction to the Special Section: ROADEF/EURO Challenge 2016—Inventory Routing Problem," Transportation Science, INFORMS, vol. 54(2), pages 299-301, March.

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