Design of multi-period Reverse logistic model with different product recovery routes under uncertainty

Document Type : Original Article

Authors

1 Master of Industrial Management, Rahbord Shomal Institute of Higher Education, Rasht, Iran

2 Professor, Faculty of Management and Economics, Tarbiat Modares University, Tehran, Iran.

3 Assistant Professor,University of Guilan, Rasht, Iran

Abstract

One of the main activities of supply chain management is reverse logistics. Reverse logistic encompass all physical activities associated with returned products such as collection, recovery, recycling and disposal. An essential issue of modeling the problem of designing reverse logistic systems is considering the greater number of options regarding the quality of returns and also uncertainty in both quantity and the quality of the returned product. In this study, a two phase fuzzy mixed integer programming is proposed. Because some of parameters are fuzzy, this model design under uncertainty condition. Moreover, the reverse logistics network was developed as a multi-period and multi-product model. The objective function of model is minimizing the total cost of the network. The model is a type of NP-Hard problems which time of solution increases exponentially. Therefore, in this study, we use the genetic metaheuristic algorithm to solve the model.

Keywords

References

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