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The inventory-routing problem of returnable transport items with time windows and simultaneous pickup and delivery in closed-loop supply chains

Author

Listed:
  • Galina Iassinovskaia

    (Louvain School of Management, Université Catholique de Louvain)

  • Sabine Limbourg

    (QuantOM HEC Management School University of Liege (ULg))

  • Fouad Riane

    (Mechanical Engineering Industrial Management and Innovation Laboratory Hassan Premier University Ecole Centrale Casablanca)

Abstract

Reducing environmental impact, related regulations and potential for operational benefits are the main reasons why companies share their returnable transport items (RTIs) among the different partners of a closed-loop supply chain. In this paper, we consider a producer, located at a depot, who has to distribute his products packed in RTIs to a set of customers. Customers define a time window wherein the service can begin. The producer is also in charge of the collection of empty RTIs for reuse in the next production cycle. Each partner has a storage area composed of both empty and loaded RTI stock, as characterized by initial levels and maximum storage capacity. As deliveries and returns are performed by a homogeneous fleet of vehicles that can carry simultaneously empty and loaded RTIs, this research addresses a pickup and delivery inventory-routing problem within time windows (PDIRPTW) over a planning horizon. A mixed-integer linear program is developed and tested on small-scale instances. To handle more realistic large-scale problems, a cluster first-route second matheuristic is propose

Suggested Citation

  • Galina Iassinovskaia & Sabine Limbourg & Fouad Riane, 2017. "The inventory-routing problem of returnable transport items with time windows and simultaneous pickup and delivery in closed-loop supply chains," Post-Print hal-04333507, HAL.
    • Handle: RePEc:hal:journl:hal-04333507
    DOI: 10.1016/j.ijpe.2016.06.024
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    Cited by:

    1. Borumand, Ali & Marandi, Ahmadreza & Nookabadi, Ali S. & Atan, Zümbül, 2024. "An oracle-based algorithm for robust planning of production routing problems in closed-loop supply chains of beverage glass bottles," Omega, Elsevier, vol. 122(C).

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