Title: A multi-objective green supply chain network design with price-dependent demand

Authors: Abolfazl Kazemi; Marzieh Karimi; Mahsa Oroojeni Mohammad Javad

Addresses: Faculty of Industrial and Mechanical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran ' Department of Industrial Engineering, Faculty of Engineering, Yazd University, Iran ' Department of Information Technology and Analytics, Kogod School of Business, American University, USA

Abstract: For many years, various businesses have used the supply chain management system to survive in a competitive market and have a more realistic vision for their business. Designing an optimal supply chain network determines supply chain efficiency and customer satisfaction. In this paper, a multi-objective model for designing a multi-product green supply chain network is proposed considering price-dependent demand conditions. The first objective function aims to maximum profit of the whole chain, including the difference between the revenue from the sale of products and the total operating cost, including fixed costs and variable costs. The second objective function minimises the supply chain's production and transportation pollution. For solving the NP-hard model, multi-objective algorithms based on Pareto, multi-objective simulated annealing algorithm (MOSA), and multi-objective variable neighbourhood search algorithm (MOVNS) is used. Finally, the statistical hypothesis test and the five standard indicators are applied to evaluate and compare algorithms.

Keywords: green supply chain network design; price-dependent demand; Pareto-based algorithms.

DOI: 10.1504/IJLSM.2025.144438

International Journal of Logistics Systems and Management, 2025 Vol.50 No.2, pp.266 - 285

Received: 25 Jan 2022
Accepted: 27 Jun 2022
Published online: 13 Feb 2025 *

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