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The Integrated Production-Inventory-Routing Problem with Reverse Logistics and Remanufacturing: A Two-Phase Decomposition Heuristic

Author

Listed:
  • Zakaria Chekoubi

    (Laboratoire d’Innovation Durable et de Recherche Appliquée, Université Internationale d’Agadir—Universiapolis, Agadir 80000, Morocco
    Laboratoire de Génie Informatique, de Production et de Maintenance (EA 3096), 57070 Metz, France)

  • Wajdi Trabelsi

    (Laboratoire de Génie Informatique, de Production et de Maintenance (EA 3096), 57070 Metz, France
    ICN Business School, 54003 Nancy, France)

  • Nathalie Sauer

    (Laboratoire de Génie Informatique, de Production et de Maintenance (EA 3096), 57070 Metz, France
    UFR MIM, Université de Lorraine, 54000 Nancy, France)

  • Ilias Majdouline

    (Laboratoire d’Innovation Durable et de Recherche Appliquée, Université Internationale d’Agadir—Universiapolis, Agadir 80000, Morocco)

Abstract

Sustainable supply chains depend on three critical decisions: production, inventory management, and distribution with reverse flows. To achieve an effective level of operational performance, policymakers must consider all these decisions, especially in Closed-Loop Supply Chains (CLSCs) with remanufacturing option. In this research paper, we address the Integrated Production-Inventory-Routing Problem with Remanufacturing (IPIRP-R) of returned End-Of-Life (EOL) products. The aim behind solving this optimization problem is to minimize conjointly the total manufacturing, remanufacturing, setup, inventory, and routing costs over the planning horizon. A two-phase decomposition heuristic is developed to solve the model iteratively. Our study finds its originality in the fact of jointly optimizing the Capacitated Lot-Sizing Problem with Remanufacturing (CLSP-R) option and the Vehicle Routing Problem with Simultaneous Pick-up and Delivery (VRPSPD) in a single framework. Numerical results showed that our solution approach provides good solutions regarding small and medium-scale size instances under acceptable computational time, especially for problems occurring with significant manufacturing and remanufacturing costs under relatively low pickup requests.

Suggested Citation

  • Zakaria Chekoubi & Wajdi Trabelsi & Nathalie Sauer & Ilias Majdouline, 2022. "The Integrated Production-Inventory-Routing Problem with Reverse Logistics and Remanufacturing: A Two-Phase Decomposition Heuristic," Sustainability, MDPI, vol. 14(20), pages 1-30, October.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:20:p:13563-:d:948164
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    References listed on IDEAS

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    2. Garside, Annisa Kesy & Ahmad, Robiah & Muhtazaruddin, Mohd Nabil Bin, 2024. "A recent review of solution approaches for green vehicle routing problem and its variants," Operations Research Perspectives, Elsevier, vol. 12(C).
    3. Sungyong Choi, 2023. "Special Issue on Advances in Operations and Supply Chain Management with Sustainability Considerations," Sustainability, MDPI, vol. 15(6), pages 1-4, March.

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