Third Part Reverse Logistics Service Provider Selection Using the Spherical Fuzzy TOPSIS Method
Erciyes Üniversitesi Fen Bilimleri Enstitüsü Dergisi, cilt.38, sa.2, ss.268-279, 2022 (TRDizin)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 38 Sayı: 2
- Basım Tarihi: 2022
- Dergi Adı: Erciyes Üniversitesi Fen Bilimleri Enstitüsü Dergisi
- Derginin Tarandığı İndeksler: TR DİZİN (ULAKBİM)
- Sayfa Sayıları: ss.268-279
- Kayseri Üniversitesi Adresli: Evet
Özet
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.