The Design of a Multi-directional Network Chain Model Offering a Closed Loop in the Automotive Industry by Providing Energy and Time Efficiency Programs

Today, green supply chain managers in leading companies strive to offer green logistics and improve their environmental performance throughout the supply chain as a strategic weapon to gain a sustainable competitive advantage by creating profitability and satisfaction across the supply chain. Therefore, considering the purpose of the research, which is to design a multi-objective model of closed-loop supply chain networks in the automotive industry according to energy efficiency and time efficiency plans, we try to model the closed-loop supply chain in the automotive industry.

In this study, we use the MOPSO method to facilitate its implementation and its ability to provide good convergence, as well as to maintain a proper balance between exploitation and exploration, as well as the NSGA II genetic algorithm.

In the study of the findings of the proposed algorithms, it found that the average error resulting from these algorithms is less than 0.04. The results also show that the proposed algorithms have the necessary efficiency in solving these problems.

We note the significant findings of our model as follows: (1) An efficient closed-loop network that shows the economic benefits of considering the value of time due to the recycling of worn-out products. (2) Has the ability to demonstrate the capacity to achieve maximum benefits in terms of cost value as well as environmental prospects.