green supply chain network design under uncertainty conditions with the mathematical model and solving it with a nsga ii algorithm

Purpose: in this paper a mathematical model for the green supply chain network problem is designed. in this research, we seek to optimize two inconsistent and conflicting goals of the problem which are as follows: 1.minimization of costs 2.minimization of environmental impacts, using of the economic indicator 99 method. methodology: in this paper, two methods of epsilon constraint and nsga ii algorithm are used to solve the two-objective model with the objective functions of minimizing network costs and minimizing emissions. findings: the results show that the introduced nsga ii algorithm has a high efficiency in forming efficient solutions in a short time. originality/value: in this paper, a two-objective model for green supply chain network is modeled and solved with the aim of reducing network costs and reducing greenhouse gas emissions.