A robust-fuzzy-probabilistic optimization model for the multi-objective problem of a sustainable green integrated production system under uncertainty

Shahdoust, Saeed; Fallah, M.; Najafi, Seyyed Esmaeil

doi:10.24200/sci.2023.59428.6239

A robust-fuzzy-probabilistic optimization model for the multi-objective problem of a sustainable green integrated production system under uncertainty

Document Type : Article

Authors

¹ Department of Industrial Engineering, Islamic Azad University, Central Tehran Branch, Tehran, Iran

² Department of Industrial Engineering, Islamic Azad University, Science and Research Branch, Tehran, Iran

10.24200/sci.2023.59428.6239

Abstract

In this paper, the robust-fuzzy-probabilistic optimization method is used to control the multi-objective problem of a sustainable green integrated production system under uncertainty. The main objectives of the problem are to minimize the costs of the entire production system and the amount of greenhouse gas emissions due to the production of parts and reproduction of products in the system. Exact and metaheuristic methods have been used to solve the problem. The computational results show an increase in costs and emissions with increasing uncertainty rates. Managers should pay attention to the management of costs as economic aspects and the amount of greenhouse gas emissions as environmental aspects according to the Pareto aspect. The sample problems in larger sizes have been investigated by MOGWO and NSGA II algorithms. The calculations show the high efficiency of MOGWO algorithm in solving large size problems based on the comparison indices of meta-heuristic algorithms.

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