Title: A multi-objective optimisation for green supply chain network design problem considering economic and environmental sustainability

Authors: Sreyneath Chhun; Saowanit Lekhavat; Mohammad Alghababsheh

Addresses: Faculty of Logistics, Burapha University, Chonburi, 20131, Thailand ' Faculty of Logistics, Burapha University, Chonburi, 20131, Thailand ' Department of Business Management, School of Business, Mutah University, Alkarak, 61710, Jordan

Abstract: The aim of this study is to develop a multi-objective optimisation for the green supply chain network design (GSCND) problem considering economic and environmental sustainability. The economic and environmental sustainability of different facilities (i.e., suppliers, plants and distribution centres) and allocation routes under five different scenarios of demand, capacity, distance, and area were evaluated. The economic sustainability was assessed in terms of four supply chain costs (i.e., establishment, transportation, production and holding costs). Environmental sustainability was measured using the ReCipe method - a method of life cycle assessment (LCA). The result revealed an interesting practical solution to the scenarios considered.

Keywords: environmental sustainability; green supply chain; multi-commodity; multi-objective optimisation; particle swarm optimisation; supply chain network design problem.

DOI: 10.1504/IJISE.2024.138159

International Journal of Industrial and Systems Engineering, 2024 Vol.47 No.1, pp.20 - 45

Received: 15 Jun 2021
Accepted: 30 Jun 2022
Published online: 30 Apr 2024 *

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