Özet:

In today's market conditions, companies have to maintain their logistics operations with an effective strategy that will provide cost and competitive advantage. Pricing pressures from customers, and specifically due to political, economic and environmental sensitivities, require reverse logistics (RL) applications in product recycling processes, that is, for recycling and re-evaluation of the product. Companies usually require an infrastructure with special information systems and particular equipment for processing returns in RL management. For this reason, most companies transfer their RL activities to third-party RL providers (3PRLP) due to their limited resources and technical capabilities. The appropriate 3PTLS selection is a strategically important decision because of its contribution to the economic profitability and long-term development of businesses. 3PRLP selection decision is considered as a multi-criteria decision-making (MCDM) problem due to the high number of uncertainties and complicated natures. In this study, a multi-criteria group decision-making model based on Pythagorean fuzzy sets was modeled using the Pythagorean fuzzy TOPSIS method to better reflect the uncertainty and complexity in human views/opinions for the best 3PRLP selection. The applicability of the model has been demonstrated and tested by an experimental study based on data from a battery manufacturing company. The obtained results were compared with other decision-making methods (classical TOPSIS, fuzzy TOPSIS and fuzzy COPRAS) and solution advantages were presented in the study. In addition, sensitivity analysis was applied to evaluate the stability and applicability of the proposed model.

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