A Multi-Objective Green Supply Chain: Multi-Product Model Considering Uncertainty

Document Type : Original Article


1 Department of Industrial Management, Science and Research Branch, Islamic Azad University, Tehran, Iran

2 Industrial managment

3 Department of Industrial Management, Faculty of Management and Economics, Islamic Azad University, Science and Research Branch, Tehran, Iran


Increasing environmental pollution has caused global warming and consequently, it has endangered human health and animals. Hence, green concept has received much attention in recent studies. In this research, a multi-objective mathematical for a multi-level multi-product supply chain network is presented which aims to minimize the environmental impact and total costs of supply chain and maximize the customers' satisfaction level. On the other hand, due to the unspecified demands level, demand uncertainty has been considered in the problem with different scenarios. Regarding the complexity of the proposed mathematical model and difficulties in solving the problem with exact methods in large size, a NSGA II method has been proposed. Finally, the proposed NSGAII has shown as a reliable method to find efficient Pareto frontiers in a reasonable time. Therefore, it can be employed for solving large scale problems.
Keywords: Green Supply Chain, Multi-Objective Optimization, Non-Dominated Sorting Genetic Algorithm, Uncertainty, Reverse Logistic


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