Development of Multi Objective Multi Period Closed-Loop Supply Chain Network Model Considering Uncertain Demand and Capacity

Abstract

Today, the discussion about the reuse of consumer products has particular importance. Since the closed loop supply chain is not only streaming but also includes reverse flow, companies are successful that integrate between direct and reverse supply chain. This paper model is multi-objective, multilevel, multi-disciplinary, and single-product in uncertain conditions. The objective functions of the model include minimizing costs, increasing the revenues from the recycled product, reducing the negative environmental effects of production, transportation and recycling of the product. To solve the problem, the approach TH, which is a method for converting multi-objective functions to single-objective, has been used. Numerical examples have been designed and solved for validating the proposed model. To study the application of the model, a case study was conducted on trolleys product in one of the hospitals industry companies in Tehran. To assess the effect of changes in the parameters affecting the improvement of objectives, sensitivity analysis on budget parameters, production capacity and uncertainty coefficient have been made. The results show the significant impact of production and budget on increasing the profit from recycled parts as well as the effect of fuzzy demand coefficient on the objective of cost and environmental effects which is increasing.

Keywords

• closed-loop supply chain
• uncertainty
• multi-objective optimization
• multi period
• demand
• capacity