Document Type : Research Paper
Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
Department of Industrial Engineering, Islamic Azad University Tehran Science and Research Branch,Tehran, Iran
Department of Mathematics, Department of Industrial Engineering, Islamic Azad University Tehran Science and Research Branch,Tehran, Iran
Department of Applied Mathematics, Ayandegan Institute of Higher Education, Tonekabon, Iran
In this study we provided a scenario-based multi-objective fuzzy model in the sustainable closed loop supply chain, which in addition to three aspects of sustainability including social impact such as creation of job opportunities, customer satisfaction, and so on, environmental impact such as reducing air pollution, and so on, economic impact such as reducing cost, increasing the reliability of the supply chain and product routing have been modeled. Two algorithms, including Multi-Objective Particle Swarm Optimization (MOPSO) Algorithm and Non-Dominated Sorting Genetic Algorithm II (NSGA-II), were applied to solve the proposed model. After tuning their parameters by the Taguchi method, we tested their performance in problems with different dimensions and evaluated them by powerful criteria. We implemented the proposed model on Chipboard Pooya Company in Iran in two scenarios of economic recession and prosperity aimed at evaluating its accuracy. A sensitivity analysis was eventually performed on the proposed model followed by making some suggestions to develop the mode.