Multi-criteria decision making for green supplier selection using interval type-2 fuzzy AHP: a case study of a home appliance manufacturer

Abstract

Many managers and firm owners nowadays pay special attention to green supplier selection to gain competitive advantage all over the world. Consequently, this subject a critical and significant decision for firms. This study utilizes an extension to analytical hierarchy process (AHP) under interval type-2 fuzzy environment (IT2FAHP) model to better cope with ambiguity and vagueness for solving supplier selection problem considering green concepts. A real case application is also performed in a home appliance manufacturer to demonstrate the effectiveness and efficiency of the IT2FAHP model in the present paper. The findings indicate that the most important factors that are effective in selecting green suppliers are cleaner production, energy/material saving, green package, remanufacturing, and environmental management system. Further, a comparison and a sensitivity analysis are conducted to display the consistency and stability of the proposed model. The findings reveal that the IT2FAHP model is quite consistent with the models in literature and green product, cleaner production, green design, and green package have a significant positive effect on performances of green suppliers.

Selection of Material Handling Equipment using the AHP and MOORA

“…The results of the MHE alternative rating for each criterion are presented in Table 3. PR Cost Flexibility in material [32] FIM Benefit Cost [33] C Cost Availability of spare parts [34] AV Benefit On-site repair [35] OSR Benefit Area constraints [36] AC Benefit Risk [37] R Cost Distance to be moved [38] DIS Benefit…”

An Alternative Decision Support System Proposal in House Purchase

“…Buradaki çalışmaya benzer şekilde Fuzzy TOPSIS yaklaşımı da faktörleri önceliklendirmede kullanılmaktadır (Rafi vd., 2020). Bunların dışında çok kriterli karar destek sistemlerinde PROMETHEE (Tian, Xu ve Gu, 2019), ELECTRE (Jahan ve Zavadskas, 2019), VIKOR (Fei, Deng ve Hu, 2019), AHP (Ecer, 2020) ve KEMIRA (Sariçali ve Kundakci, 2019) gibi çeşitli modeller de kullanılmaktadır. Buradaki çalışma Fuzzy TOPSIS modeli ile kısmi bir benzerlik göstermektedir.…”

An Integrated Interval type 2 fuzzy AHP and COPRAS-G methodologies for supplier selection in the era of Industry 4.0

“…IT2F-AHP can better handle uncertainties and vagueness of decision-making problem [15] Additionally, IT2F-AHP can easily reduce the uncertainty from decision-makers' opinion in the comparison matrix. Consequently, this feature of IT2F-AHP method, which makes the linguistic evaluations of decision makers more effective and more flexible, makes it superior to other similar methods [15]. The benefit of COPRAS-G is as follows: (i) having a few calculation steps and short calculation time compared to AHP and TOPSIS method, (ii) COPRAS method has the possibility of calculating the values to be maximized and minimized separately among the criteria [11].…”

“…Interval type-2 fuzzy AHP (IT2F-AHP), was originally developed by [73], provides many advantages compared to classical AHP and type-1 fuzzy AHP. IT2F-AHP can better handle uncertainties and vagueness of decision-making problem [15] Additionally, IT2F-AHP can easily reduce the uncertainty from decision-makers' opinion in the comparison matrix. Consequently, this feature of IT2F-AHP method, which makes the linguistic evaluations of decision makers more effective and more flexible, makes it superior to other similar methods [15].…”