Walid Ellili, Mahfoud Marheel, Mahdi Louati, Taïcir Moalla Loukil

Proceedings of the 27th World Multi-Conference on Systemics, Cybernetics and Informatics: WMSCI 2023, pp. 103-106 (2023); https://doi.org/10.54808/WMSCI2023.01.103

Walid Ellili
Computer Science Department, University of Sfax, Sfax, Tunisia

Mahfoud Marheel
Computer Science Department, University of Sfax, Sfax, Libya

Mahdi Louati
Computer Science Department, University of Sfax, Sfax, Tunisia

Taïcir Moalla Loukil
Computer Science Department, University of Sfax, Sfax, Tunisia

Cite this paper as:
Ellili, W., Marheel, M., Louati, M., Loukil, T. M. (2023). Optimization of End-of-Life Product Recycling Supply Chain Using PSO Algorithm and R Language. In N. Callaos, E. Gaile-Sarkane, S. Hashimoto, N. Lace, B. Sánchez, M. Savoie (Eds.), Proceedings of the 27th World Multi-Conference on Systemics, Cybernetics and Informatics: WMSCI 2023, pp. 103-106. International Institute of Informatics and Cybernetics. https://doi.org/10.54808/WMSCI2023.01.103

This article presents an optimization approach for the end-of-life product recycling supply chain using the Particle Swarm Optimization (PSO) algorithm and the R programming language. The objective is to minimize the total cost associated with transportation, facility opening, and variable costs, while meeting the capacity constraints of collection, recycling, and landfill sites over multiple times. The PSO algorithm is utilized to find the optimal solution for the problem. The results demonstrate the effectiveness of the proposed approach in optimizing the end-of-life product recycling supply chain. The optimal solution yields a significant cost reduction compared to previous approaches. The article concludes with insights into the benefits and limitations of using the PSO algorithm and R language, and provides recommendations for future research in this area. Overall, this study contributes to the field of sustainable supply chain management by providing a practical and efficient solution for optimizing the end-of-life product recycling process.