Title: Hybrid multi-agent framework for green supply chain management

Authors: Mohamed Dif El Idrissi; Abdelkabir Charkaoui; Abdelouahed Echchatbi

Addresses: Laboratory of Industrial Management and Innovation, Hassan First University of Settat, FST de Settat, Km 3, B.P. 577 Route de Casablanca, Morocco ' Laboratory of Industrial Management and Innovation, Hassan First University of Settat, FST de Settat, Km 3, B.P. 577 Route de Casablanca, Morocco ' Laboratory of Industrial Management and Innovation, Hassan First University of Settat, FST de Settat, Km 3, B.P. 577 Route de Casablanca, Morocco

Abstract: Environmental customer collaboration has recently attracted a big attention from researchers and industrial professionals. Many studies show that companies may reach high performance level by considering customer collaboration and environmental regulations. However, literature in the green supply chain management (GSCM) suggests having more structured collaboration and information exchange processes between supply chain partners based on new technologies. For this reason, this work proposes a hybrid solution based on multi-agent systems (MAS) and mixed integer linear programming (MILP) to automate and facilitate the environmental customer collaboration process. The study demonstrates how MAS can be used in the GSCM context to improve communication and reduce complexity. An industrial study case in the automotive spare parts sector is used to demonstrate the applicability of the established MAS model.

Keywords: green supply chain management; multi-agent systems; supply chain management; customer collaboration; environmental regulation.

DOI: 10.1504/IJIDS.2025.144258

International Journal of Information and Decision Sciences, 2025 Vol.17 No.1, pp.32 - 50

Received: 11 Jan 2021
Received in revised form: 03 Jan 2022
Accepted: 15 Apr 2022
Published online: 04 Feb 2025 *