Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.13091/2943
Title: Smart and sustainable supplier selection using interval type-2 fuzzy AHP
Authors: Torğul, Belkız
Paksoy, Turan
Keywords: Interval type-2 fuzzy sets
interval type-2 fuzzy AHP
smart
sustainable
supplier selection
Analytic Hierarchy Process
Performance Evaluation
Topsis Methods
Dea Model
Environment
Industry
Network
Systems
Tool
Issue Date: 2022
Publisher: Gazi Univ
Abstract: Government regulations, customers' environmental awareness, quality of life-improving efforts and developments in the information and communication system have almost obliged organizations to consider smart and sustainable factors while evaluating their suppliers. Working with suitable suppliers in terms of technological, environmental and social aspects as well as economic aspects, will be the basis for smart and sustainable supply chains. An effective supplier selection running is also needed to continue the process in harmony. The issue of supplier selection is one of the multi-criteria decision- making problems that requires consideration of many qualitative and/or quantitative factors. In this study, Analytic hierarchy process (AHP) method with interval type-2 fuzzy sets, which are more flexible and successful in reflecting uncertainty for fuzzy decision-making problems with contradictory criteria, was proposed to evaluate the overall performance of suppliers. In order to demonstrate the applicability of the proposed method, an empirical study was conducted on the evaluation of material suppliers for an automotive manufacturer and a comparative scenario analysis was performed to investigate the effect of different criteria under different conditions.
Description: Article; Early Access
URI: https://doi.org/10.2339/politeknik.1017259
https://hdl.handle.net/20.500.13091/2943
ISSN: 1302-0900
2147-9429
Appears in Collections:Mühendislik ve Doğa Bilimleri Fakültesi Koleksiyonu
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collections

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