A Sequence-Based Metaheuristic For Tactical Distribution Planning In Closed-Loop Supply Chains. Issue 13 (2019)

• Record Type: Journal Article
• Authors: Desport, Pierre; Lardeux, Frédéric; Lesaint, David; Cairano-Gilfedder, Carla Di; Liret, Anne; Owusu, Gilbert
• Is Part Of: IFAC-PapersOnLine. Volume 52:Issue 13(2019)
• Page Start: 1749
• Page End: 1754
• Publication Date: 2019
• Subjects: Supply Chain Planning -- Metaheuristics -- Distribution -- Transport; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2019.11.500
• Languages: English
• ISSNs: 2405-8963

Abstract

Abstract: We present a metaheuristic for planning the distribution of items in closed-loop supply chains. This metaheuristic composes sequences of transfer and repair actions to generate plans iteratively. It uses a local search algorithm based on an efficient data structure to construct and select improving sequences at each step. An experimental comparison with a mixed integer programming approach shows its scalability and robustness on a variety of instances. We also study and discuss the ability to support different distribution policies.