Reduction of environmental pollution in closed-loop supply chain optimization using fuzzy complex integer programming

with increase in greenhouse gases, and pollutants and ever-increasing attention to environmental issues, the managers and researchers tried to design and put into operation some networks which in addition to economic optimization has a specific focus on environmental factors and reducing pollutants. , Supply Chain Management has become changed into one of the basic issues of the economic firms in such a way that it has left an impression on all activities of the organizations for producing the products, improving the quality, decreasing the prices and presenting the required services for the customers. The first goal is to increase the profit of the entire supply chain and the second goal is reducing the pollutions of the environment.

This study in terms of purpose is practical and in terms of the method is descriptive-research. In this study, a dual-objective mathematical model is presented for the closed-loop supply chain network design. The mathematical model based on some standards such as the number of products, number of reused products and number of defined parts. Also, one solution was presented based on fuzzy-planning and a dual-objective fuzzy model was considered. In the next step with the available data, the model is tested by using GAMS software.

increasing the amount of the first purpose function has a complete direct relationship with increasing the multiplier. Whereas changing the demand has an indirect relationship with the second purpose function. increasing demand leads to an intensive increase in environmental pollutions.