Designing Closed-Loop Supply Chain Network for High-Salvage Perishable Products Under Uncertain Environment

High-salvage perishable products have the characteristics of a short life cycle and high residual value. To extract maximum value this kind product, closed-loop supply chain network model based on product is constructed under various uncertainties. This incorporates assumptions such as multiple products, periods, timeliness recycling, four-echelon including manufacturers, wholesalers, recycling centers, consumer markets. Where recovery cost reuse rate are denoted by interval numbers, demand capacity stochastic fuzzy numbers respectively. A Two-step interactive method flexible programming used to handle The optimum solutions in harsh environment favorable obtained numerical example, results show proposed more accurate grey degree robust site selection than chance-constraint mixed-integer nonlinear method. Besides, we demonstrate relationships between sensitivity coefficients profits. i.e., higher probability stockout secondary market, harsher external is, will get increasing, corresponding expected profit lower; inversely, satisfaction e-commerce decreasing, higher. Furthermore, simulation also shows that price recycled fluctuates with increase no stockout, where fluctuation market fundamentally same, while parts least. Finally, according analysis, some managerial insights given conclusion.