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

Zakaria Chekoubi (), Wajdi Trabelsi, Nathalie Sauer and Ilias Majdouline
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Zakaria Chekoubi: Laboratoire d’Innovation Durable et de Recherche Appliquée, Université Internationale d’Agadir—Universiapolis, Agadir 80000, Morocco
Wajdi Trabelsi: Laboratoire de Génie Informatique, de Production et de Maintenance (EA 3096), 57070 Metz, France
Nathalie Sauer: Laboratoire de Génie Informatique, de Production et de Maintenance (EA 3096), 57070 Metz, France
Ilias Majdouline: Laboratoire d’Innovation Durable et de Recherche Appliquée, Université Internationale d’Agadir—Universiapolis, Agadir 80000, Morocco

Sustainability, 2022, vol. 14, issue 20, 1-30

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.

Keywords: Integrated Production-Inventory-Routing Problem; lot-sizing problem with remanufacturing; Vehicle Routing Problem (VRP); simultaneous pick-up and delivery; reverse logistics; Mixed Integer Linear Programming (MILP); decomposition heuristic (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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