Intuitionistic fuzzy green supplier selection and an application in the machine manufacturing sector

Abstract

Green Supplier Selection is a mandatory function of green supply chain management and has an strategic importance for enterprises to preserve their competitiveness. GSS is an important element in the pass to sustainable supply chain design and management. Therefore, it is important to provide a well-functioning green supplier decision-making system to enterprises and it is a critical process for them. In this study, a selection model including green criteria was proposed for GSS. In order to appear the praticticability and efficacy of the recommended model, a real-world case analysis is showned. The results of this paper proved that the recommended model could resolve the GSS problem well by considering the uncertainties associated with the decisions of experts.

Keywords

• Green supply chain management
• Green Supplier Selection
• Multi-criteria decision making problems
• Intuitionistic fuzzy TOPSIS

References

1. Amin, S., Haeri, S., Rezaei, J. (2019). A grey-based green supplier selection model for uncertain environments. Journal of Cleaner Production, 221, 768-784.
2. Atanassov, K. (1986). Intuitionistic fuzzy sets. Fuzzy Sets and Systems.20(1), 87-96.
3. Banaeian, N., Mobli, H., Fahimnia, B., Nielsen,L.E., Omid, M. (2018). Green supplier selection using fuzzy group decision making methods: A case study from the agri-food industry.Computers and Operations Research, 89, 337-347.
4. Boran, E., Genc,S., Kurt M., Akay D. (2009). A multi-criteria intuitionistic Fuzzy group decision making for supplier selection with TOPSIS method. Expert Systems with Applications 36, 11363-11368
5. Büyüközkan, G., Çifçi, G. (2012). Evaluation of the green supply chain management practices: a fuzzy ANP approach.Prod. Plan. Control, 23 (6), 405-418
6. Büyüközkan, G., Çifçi,G. (2012). A novel hybrid MCDM approach based on fuzzy DEMATEL, fuzzy ANP and fuzzy TOPSIS to evaluate green suppliers.Expert Systems with Applications 39 (3), 3000-3011
7. Cao, Q.,Wu, J., Liang, C. (2015). An intuitionsitic fuzzy judgement matrix and TOPSIS integrated multi-criteria decision making method for green supplier selection.Journal of Intelligent & Fuzzy Systems, 28(1), 117-126.
8. Calık, A. (2018). Green Supplier Selection with Fuzzy Multi-Objective Linear Programming and Interval Type-2 Fuzzy AHP Method. Selçuk Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 39, 96-109.

9. Daldır, I.,Tosun, O. (2018). Green Supplier Selection Using Fuzzy WASPAS. Uludağ Üniversitesi Mühendislik Fakültesi Dergisi, 23(4), 193-208.
10. Deshmukh, S.,Sunnapwar, V. (2019). Fuzzy Analytic Hierarchy Process (FAHP) for Green Supplier Selection in Indian Industries. Proceedings of International Conference on Intelligent Manufacturing and Automation, 679-687.
11. Dobos, I, Vorosmarty G. (2019). Inventory-related costs in green supplier selection problems with Data Envelopment Analysis (DEA).International Journal of Production Economics. 209, 374-380
12. Ecer, F. (2020). Multi-criteria decision making for green supplier selection using interval type-2 fuzzy AHP: a case study of a home appliance manufacturer. Operational Research.
13. Freeman, J., Chen. T. (2015). Green supplier selection using an AHP-Entropy-TOPSIS framework Supply Chain Manag., 20 (3), 327-340.
14. Gaoa, H., Ernesto, Y., Gonzalez, S., Zhang, W.(2020).Green supplier selection in electronics manufacturing: An approach based on consensus decision making. Journal of Cleaner Production. 245,118781.
15. Ghorabaee, M.K., Zavadskas, E.K., Amiri, M., Esmaeili, A. (2016). Multi-criteria evaluation of green suppliers using an extended WASPAS method with interval type-2 fuzzy sets.J. Clean. Prod., 137, 213-229
16. Kannan, D., Khodaverdi, R., Olfat, L., Jafarian, A., Diabat, A. (2013). Integrated fuzzy multi criteria decision making method and multi-objective programming approach for supplier selection and order allocation in a green supply chain.J. Clean. Prod., 47, 355-367
17. Kannan, D., Govindan,K., Rajendran., S. (2015). Fuzzy axiomatic design approach based green supplier selection: a case study from Singapore.J. Clean. Prod., 96, 194-208. Kahn, R.A. (2018).Introductory Chapter: Introduction of GreenSupplyChain Management.
18. Kuo, T.C., Hsu C.W., Li, J.Y.(2015). Developing a Green Supplier Selection Model by Using the DANP with VIKOR. Sustainability , 7(2), 1661-1689.
19. Li M., Wu, C. (20159. Green Supplier Selection Based on Improved Intuitionistic Fuzzy TOPSIS Model. Metallurgical and Mining Industry, 6.193-205.
20. Madenoğlu, F.S. (2019). Green supplier selection in fuzzy multi criteria decision making environment, Business & Management Studies: An International Journal,7(4), 1850-1869.
21. Memari,A., Dargi, A., Akbari M.R., Robaiah, J., Rahim, R.A. (20199. Sustainable supplier selection: A multi-criteria intuitionistic fuzzy TOPSIS method. Journal of Manufacturing Systems. 50, 9-24.
22. Mishra A.R., Rani, P., Pardasani, K.R.,Mardani, A. (2019). A novel hesitant fuzzy WASPAS method for assessment of green supplier problem based on exponential information measures. Journal of Cleaner Production, 238, 117901.
23. Phochanikorn, P., Tan, C. (2019). An Integrated Multi-Criteria Decision-Making Model Based on Prospect Theory for Green Supplier Selection under Uncertain Environment: A Case Study of the Thailand Palm Oil Products Industry. Sustainability. 11(7), 1872.
24. Qin,J.,Lin, X.,Pedryez,W. (2017). An extended TODIM multi-criteria group decision making method for green supplier selection in interval type-2 fuzzy environment. European Journal of Operational Research.258(2), 626-638.
25. Rouyendegh B.R., Yıldızbaşı, A., Üstünyer, P. (2020). Intuitionistic Fuzzy TOPSIS method for green supplier selection problem. Soft Computing 24(3), 2215-2228.
26. Sen, D.K., Datta, S., Patel, S.K., Mahapatra, S.S. (2017). Green supplier selection in fuzzy context: a decision making scenario on application of fuzzy-MULTIMOORA.Int. J. Serv. Oper. Manag., 28 (1), 98.
27. Tseng, M.L. , Chiu, A.S.F. (2013). Evaluating firm's green supply chain management in linguistic preferences. Journal of Clean Production, 40, 22-31.
28. Tian, Z, Zhang H., Wang, J., Wang, T. (2015). Green Supplier Selection Using Improved TOPSIS and Best-Worst Method Under Intuitionistic Fuzzy Environment. Journal of Intelligent & Fuzzy Systems, 28(19), 117-126.
29. Wan S., Zou, W. Zhong, L., Dong, J. (20199. Some new information measures for hesitant fuzzy PROMETHEE method and application to green supplier selection. Soft computing, 24, 9179–9203.
30. Yazdani, M., Chatterjee, P., Zavadskas, E.K., Zolfani, S.H. (2017). Integrated QFD-MCDM framework for green supplier selection.J. Clean. Prod., 142, 3728-3740
31. Yıldırım, F. (2019). Evaluation of Credit Card Platforms Using Intuitionistic Fuzzy TOPSIS Method Journal of BRSA Banking and Financial Markets, 13(1), 37-58.
32. Zadeh L.A. (1965) Fuzzy sets. Information and Control.Volume 8, Issue 3, June 1965, Pages 338-353
33. Zhang, P., Zhang H., Wang, J., Wang, T. (2018). Green Supplier Selection Using Improved TOPSIS and Best-Worst Method Under Intuitionistic Fuzzy Environment. Informatica, 29(4), 773-800.