Optimization Model for Remanufacturing Logistics Network with Fuzzy Parameters

In this paper, a multi-product multi-echelon remanufacturing logistics network based on forward flows is designed. A fuzzy mixed integer linear programming (FMILP) model is developed accounting for the uncertainty of the quantities of returned products as fuzzy parameters. Regarding the quantity of the returned products as triangle fuzzy parameter, the proposed model is solved by converting fuzzy chance constraints to their respective crisp equivalents. An illustrative example is presented to demonstrate the effectiveness of the model.