A Modelling framework for Closed-Loop Supply Chain Network Design under Uncertainty

In this paper, the closed-loop supply chain network desgin problem under uncertainty is proposed as a mixed integer linear programming model. The model is multi stage, single commodity, single period and capacitated where demand for new and recovered product as well as return of used product are considered as stochastic parameters. In this model, the objective function is formulated as minimizing costs of locating facilities and transporting together with satisfying all customers' demands and returns. As contribution of this research, we introduce a hybrid concept to locate manufacturing and remanufacturing centers. Besides, Risk pooling concept is also considered in distribution centers.

کلیدواژه ها:

Supply Chain Network Design ، Closed-loop supply chain ، Reverse logistics ، Mixed Integer Linear Programming