Third Part Reverse Logistics Service Provider Selection Using the Spherical Fuzzy TOPSIS Method


Zaralı F.

Erciyes Üniversitesi Fen Bilimleri Enstitüsü Dergisi, vol.38, no.2, pp.268-279, 2022 (Peer-Reviewed Journal)

  • Publication Type: Article / Article
  • Volume: 38 Issue: 2
  • Publication Date: 2022
  • Journal Name: Erciyes Üniversitesi Fen Bilimleri Enstitüsü Dergisi
  • Journal Indexes: TR DİZİN (ULAKBİM)
  • Page Numbers: pp.268-279

Abstract

The relevance of reverse logistics is increasing day by day as a result of the recycling of used goods, which is required for environmental reasons and seen as a competitive advantage by enterprises. The profitability of enterprises increases and their image in the eyes of consumers improves as a result of changes achieved in reverse logistics systems. Reverse logistics services are typically outsourced to 3PRLP by businesses. Choosing an inappropriate 3PRLP for a firm will diminish resource efficiency, increase operational hazards, and potentially harm the company's long-term growth. As a result, the SFS-based TOPSIS model has been suggested in this study, which takes uncertainty into consideration and can aid in the selection and evaluation of 3PRLP. The proposed model is applied on a company in the aluminum industry, and the findings are presented.