Capacity Planning For Production and Reproduction In A Closed Loop Supply Chain According to Customer Behavior Using A System Dynamics Approach

In recent years, the use and implementation of the closed loop supply chain has been important because of the improvement in corporate profitability, environmental issues and sustainable development. This has led to a wider range of research and articles in this area. Therefore, studying the effective factors and their impact level is a better understanding of the design of a closed loop supply chain. The main focuses of this paper is on the planning of production capacity, taking into account customer behavior and service on the level of returns in the supply chain. The purpose of this paper is to clarify the effective variables and how they approach each other in order to achieve the goals of the chain. So, first, there is an overview of the subject literature and the key variables of some of the papers have been identified. In the next step, by drawing the causal and nonlinear diagrams, the relationships of the variables were examined together and then determined by the flow diagram, state variables, and accumulation locations in the chain. Finally, the model has been validated and validated using dynamic modeling tests such as sensitivity analysis, boundary condition testing, etc.