Özet:

Today, reverse logistics (TL) is increasingly increasing as an important profitable and sustainable business strategy. Companies are forced to carry out their activities due to political, economic and environmental pressures. The most characteristic feature of the TL networks is the uncertainty that occurs in cases where some parameters used in the network design are unknown. The TL networks contain a high degree of uncertainty about the time, quantity and quality of the returning product. Deterministic models remain insufficient in designing TL networks that contain uncertainty in nature. In this study, under uncertainty, a multi-stage, multi-productive, capacity and facility limited two-stage stokastic programming model was proposed. In the solution of the proposed model, the sample approach scheme was used. The general TL network design model developed in the study was applied to the network design problem of the logistics company that is serving in the field of electric and electronic waste recycling in Turkey. The results show that the developed stocastic programming model is economically effective and can help managers make strategic investment decisions by removing uncertainty.

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