Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.13091/2940
Title: Strategy development for supplier selection process with smart and sustainable criteria in fuzzy environment
Authors: Demiralay, Enes
Paksoy, Turan
Keywords: Fuzzy environment
Multi-criteria decision-making
Smart paradigm
Supplier selection
Sustainability
Issue Date: 2022
Publisher: Elsevier Ltd
Abstract: Supply chain management has been mutated to adapt to the developments over the last couple of decades. Smart paradigms, one of today's most significant paradigm shifts, occur in almost every moment of our daily lives. On the other hand, the importance of sustainability has increased more and more, reducing available resources of our world and increasing the effect of climate change and environmental degradation. In this context, this study it is aimed to develop a strategy for the supplier selection process by investigating the impacts of using different fuzzy environments and different decision-making methods on smart and sustainable supplier selection. The applicability of the proposed approaches has been demonstrated by a supplier selection case study of Company V, an automobile spare parts manufacturer. With the comparative analyzes made, it has been observed that although different fuzzy environments or varying decision-making methods in supplier selection create minor differences in criterion weights, it does not make any difference in supplier evaluations. For this reason, it has been concluded that it does not affect supplier selection. In addition, it was investigated how different supplier distributions in the strategies developed with the scenario analyzes affected each purpose of Company V, and an increase was observed in purchasing costs, carbon emission rates, quality rates, and on-time delivery rates when their importance levels increased from sustainable to smart criteria. To the authors' best knowledge, strategy development for the smart and sustainable criteria-based supplier selection process is a pioneering work in this field as it has never been studied before in the literature. © 2022
URI: https://doi.org/10.1016/j.clscn.2022.100076
https://hdl.handle.net/20.500.13091/2940
ISSN: 2772-3909
Appears in Collections:Mühendislik ve Doğa Bilimleri Fakültesi Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collections

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