Title: A meta-heuristic for a bi-objective multi-commodity green distribution network

Authors: Malika Nisal Ratnayake; Voratas Kachitvichyanukul; Huynh Trung Luong

Addresses: School of Engineering and Technology, Asian Institute of Technology, Thailand ' School of Engineering and Technology, Asian Institute of Technology, Thailand ' School of Engineering and Technology, Asian Institute of Technology, Thailand

Abstract: This paper presents a bi-objective optimisation model for solving the location-allocation problem (LAP) of a distribution network that consists of four echelons including suppliers, manufacturing plants, distribution centres and customers. Multiple product types and raw materials are considered. A bi-objective mathematical model is formulated to minimise the total costs and the greenhouse gas emissions arising from the location-allocation decisions. A meta-heuristic algorithm is developed to solve the proposed mathematical model. The proposed algorithm was implemented using multi-objective particle swarm optimisation (MOPSO) and multi-objective differential evolution (MODE) solution methods and results were analysed.

Keywords: location-allocation problem; LAP; multi-commodity distribution network problem; multiple objective optimisation; green supply chain design; meta-heuristics.

DOI: 10.1504/IJLSM.2020.107384

International Journal of Logistics Systems and Management, 2020 Vol.36 No.2, pp.282 - 304

Received: 19 Dec 2017
Accepted: 06 Oct 2018
Published online: 26 May 2020 *

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