Ahmet Selcuk YALCIN, Huseyin Selcuk KILIC

Green Supplier Selection via an Integrated Multi-Attribute Decision Making Approach

The environmental awareness of society and the global competition market has increased significantly due to the environmental problems that happen today. Companies have recognized the importance of focusing on environmental issues in order to be strong in a modern competitive business environment. Therefore, environmental factors are taken into consideration during the supplier selection process, which is an important decision point in the supply chain. In this study, two robust multi-attribute decision making techniques, Intuitionistic Fuzzy AHP (IF-AHP) and PROMETHEE, are used in an integrated way to better handle this selection problem. The steps are clearly explained in the proposed methodology. First, the relative weights of the criteria are determined by IF-AHP, which allows decision makers (DMs) to deal with the uncertainty of the evaluation process. Subsequently, the weights of criteria obtained are used in the PROMETHEE method for the best ranking of alternative suppliers. An application is performed in the air filtration industry to demonstrate the validity of the proposed method.

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[1] J. Sarkis, Q. Zhu and K. Lai, “An organizational theoretic review of green supply chain management literature” , International Journal of Production Economics, vol. 130, pp. 1–15, 2011.

[2] G. Büyüközkan ve Z. Vardaloğlu, “Green supply chain management (Yeşil tedarik zinciri yönetimi)”, Lojistik Dergisi, Cilt 8, 66-73, 2008.

[3] G. Akman, “Evaluating suppliers to include green supplier development programs via fuzzy c-means and VIKOR methods”, Computers and Industrial Engineering, vol. 86, pp. 69-82, 2015.

[4] Ö. Bali ve E. Güreşen, “Çoklu Periyotta Çevreci Tedarikçi Seçimi İçin Belirsizlik Etmenli Bir ÇÖKV Yöntemi”, Journal of Defense Science, vol. 12(1), pp. 43-70, 2013.

[5] Z. Xu and H. Liao, “Intuitionistic Fuzzy Analytic Hierarchy Process”, IEEE transactions on fuzzy systems, vol. 22(4), pp. 749-761, 2014.

[6] S. Hashemi, A. Karimi and M. Tavana, “An integrated green supplier selection approach with analytic network process and improved Grey relational analysis”, International Journal of Production Economics, vol. 159, pp. 178-191, 2015.

[7] G.W. Dickson, “An analysis of vendor selection system and decisions”, Journal of Purchasing, vol. 2(1), pp. 5-17, 1966.

[8] C.A. Weber, J.R. Current and W.C. Benton, “Vendor selection criteria and methods”, European Journal of Operational Research, vol. 50 (1), pp. 2-18, 1991.

[9] W. Ho, X. Xu, and K.P. Dey, “Multi-criteria decision making approaches for supplier evaluation and selection: A literature review”, European Journal of Operational Research, vol. 202, pp. 16–24, 2010.

[10] K. Govindan, S. Rajendran, J.Sarkis, and P. Murugesan, “Multi criteria decision making approaches for green supplier evaluation and selection: a literature review”, Journal of Cleaner Production, vol. 98, pp. 66-83, 2015.

[11] I.E. Nielsen, N. Banaeian, P. Golińska, H. Mobli and M. Omid, “Green Supplier Selection Criteria: From a Literature Review to a Flexible Framework for Determination of Suitable Criteria”, Logistics Operations, Supply Chain Management and Sustainability, pp. 79-99, 2014.

[12] R. Villanueva-Ponce, L. Avelar-Sosa, A. Alvarado-Iniesta, and V.G. Cruz-Sánchez, “The green supplier selection as a key element in a supply chain: A review of cases studies” Dyna, vol. 82(194), pp. 36-45, 2015.

[13] A. Banasik, J.M. Bloemhof-Ruwaard, A. Kanellopoulos, G.D.H. Claassen and G. A. J. Van der Vorst, “ Multi-criteria decision making approaches for green supply chains: a review”, Flexible Services and Manufacturing Journal, pp. 1–31, 2016.

[14] O. Gurel, Z. Acar, I. Onden and I. Gumus, “Determinants of the green supplier selection”, Procedia - Social and Behavioral Sciences, vol. 181, pp. 131 – 139, 2015.

[15] J. Chai, N.K. Liu and W.T. Ngai, “Application of decision-making techniques in supplier selection: A systematic review of literature”, Expert Systems with Applications, vol. 40, pp. 3872–3885, 2013.

[16] S. Sipahi, and M. Timor, “The analytic hierarchy process and analytic network process: an overview of applications”, Management Decision, vol. 48(5), pp. 775-808, 2010.

[17] G. Noci, “Designing green vendor rating systems for the assessment of a supplier’s environmental performance”, European Journal of Purchasing & Supply Management, vol. 3(2), pp. 103–114, 1997.

[18] P.K. Humphreys, Y.K Wong, and F.T.S. Chan, “Integrating environmental criteria into the supplier selection process”, Journal of Materials Processing Technology, vol. 138, pp. 349-356, 2003.

[19] L.Y.Y. Lu, C.H. Wu and T.C. Kuo, “Environmental principles applicable to green supplier evaluation by using multiobjective decision analysis”, International Journal of Production Research, vol. 45, pp. 4317-4331, 2007.

[20] A. Lee, H. Kang, C. Hsu and H. Hung, “A green supplier selection model for high-tech industry”, Expert Systems with Applications, vol. 36, pp. 7917–7927, 2009.

[21] C. Bai and J. Sarkis, “Integrating sustainability into supplier selection with grey system and rough set methodologies”, International Journal of Production Economics, vol. 124(1), pp. 252-264, 2010.

[22] G. Büyüközkan and G. Çifçi, “A novel fuzzy multi-criteria decision framework for sustainable supplier selection with incomplete information”, Computers in Industry, vol. 62(2), pp. 164-174, 2011.

[23] D. Kannan, R. Khodaverdi, L. Olfat, A. Jafarian and A. Diabat, “Integrated fuzzy multi criteria decision making method and multi objective programming approach for supplier selection and order allocation in a green supply chain”, Journal of Cleaner Production, vol. 47, pp. 355-367, 2013.

[24] I. Dobos and G. Vörösmarty, “Green supplier selection and evaluation using DEA-type composite indicators”, International Journal of Production Economics, vol. 157, pp. 273-278, 2014.

[25] J. Freeman and T. Chen, “Green supplier selection using an AHP-Entropy-TOPSIS framework”, Supply Chain Management: An International Journal, vol. 20(3), pp. 327–340, 2015.

[26] S. Darabi and J. Heydari, “An intervalvalued hesitant fuzzy ranking method based on group decision analysis for green supplier selection, IFACPapersOnLine, vol. 49(2), pp. 12-17, 2016.

[27] M. Yazdani, P. Chatterjee, E.K. Zavadskas, and S.H. Zolfani, “Integrated QFD-MCDM framework for green supplier selection”, Journal of Cleaner Production, vol. 142, pp. 3728-3740, 2017.

[28] N. Banaeian, I. Nielsen, B. Fahimnia, H. Hobli and M. Omid, “Green supplier selection using fuzzy group decision making methods: a case study from agrifood industry”, Computers and Operations Research, vol. 89, pp. 337-347, 2016.

[29] L. Abdullah and L. Najib, “Sustainable energy planning decision using the intuitionistic fuzzy analytic hierarchy process: choosing energy technology in Malaysia” International Journal of Sustainable Energy, vol. 35 (4), pp. 360– 377, 2016.

[30] F.E. Boran, S. Genç, M. Kurt and D. Akay, “A multi-criteria intuitionistic fuzzy group decision making for supplier selection with TOPSIS method”, Expert Systems with Applications, vol. 36(8), pp. 11363-11368, 2009.

[31] Xu, Z. S.. “Intuitionistic Fuzzy Aggregation Operators”, IEEE Transactions on Fuzzy Systems, vol. 15 (6), pp. 1179–1187, 2007.

[32] T. L Saaty, The Analytical Hierarchy Process, Planning, Priority. Resource Allocation. RWS Publications, USA, 1980.

[33] J.P. Brans ve B. Mareschal, “PROMETHEE methods”, Multiple criteria decision analysis: state of the art surveys , 163-186, Springer, New York, NY, 2005.