Title: Optimal strategies for an uncertain forward and reverse multi-period logistics network using heuristic algorithm: a case study of Shanghai perishable products

Authors: Jianquan Guo; Lian Chen; Bingzi Tang; Mitsuo Gen

Addresses: Sino-German College, University of Shanghai for Science and Technology, Shanghai 200093, China ' Business School, University of Shanghai for Science and Technology, Shanghai 200093, China ' Business School, University of Shanghai for Science and Technology, Shanghai 200093, China ' Fuzzy Logic Systems Institute Kawazu, Iizuka city, 680-41, Japan; Tokyo University of Science Tokyo 162-0825, Japan

Abstract: In view of the high economic volatility, serious environmental pollution and updated demands of customers for distribution efficiency caused by uncertain demand or recovery, improper handling and untimely delivery of perishable products under various circumstances. An uncertain perishable products forward and reverse logistics network and its optimal strategies are proposed with the consideration of multi-period and multi-objective. The first objective is to minimise the overall cost of the system, the second objective is minimum environmental impact and the third one is about just-in-time delivery. Model's validity was proved by a hybrid GA-PSO algorithm, aided by an exact solver (CPLEX) with a case of a perishable products enterprise in Shanghai. Finally, some useful references and managerial insights are proposed to create a forward and reverse logistics network for perishable products enterprises.

Keywords: perishable products; uncertain forward and reverse logistics network; multi-period and multi-objective; hybrid particle swarm optimisation and genetic algorithm.

DOI: 10.1504/IJIMS.2024.140227

International Journal of Internet Manufacturing and Services, 2024 Vol.10 No.2/3, pp.132 - 164

Received: 24 Aug 2022
Accepted: 28 Sep 2022
Published online: 31 Jul 2024 *

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