An integrated fuzzy multi-criteria group decision-making approach for green supplier evaluation

International Journal of Production Research

Volumn 50, Issue 11, 2012, Pages 2892-2909

  Büyüközkan, Gülçin ^a  

^a GALATASARAY UNIVERSITY   (Turkey)

Author keywords

fuzzy AD; fuzzy AHP; fuzzy logic; green supplier; group decision making; multi criteria decision making; supplier selection

Indexed keywords

FUZZY AD; FUZZY AHP; GREEN SUPPLIER; GROUP DECISION MAKING; MULTI-CRITERIA DECISION MAKING; SUPPLIER SELECTION;

DECISION MAKING; ENVIRONMENTAL MANAGEMENT; FUZZY LOGIC; FUZZY SETS; HIERARCHICAL SYSTEMS; INDUSTRY;

FUNCTION EVALUATION;

EID: 84862700289     PISSN: 00207543     EISSN: 1366588X     Source Type: Journal    
DOI: 10.1080/00207543.2011.564668     Document Type: Article

References (84)

1. Amid, A, Ghodsypour, SH, and, OBrien, C. 2006. Fuzzy multiobjective linear model for the supplier selection in a supply chain. International Journal of Production Economics, 104 (2): 394-407. (Pubitemid 44403074)
2. Awasthi, A, Chauhan, SS, and, Goyal, SK. 2010. A fuzzy multicriteria approach for evaluating environmental performance of suppliers. International Journal of Production Economics, 126 (2): 370-378.
3. Boer, L, Labro, E, and, Morlacchi, P. 2001. A review of methods supporting supplier selection. European Journal of Purchasing and Supply Management, 7 (2): 75-89. (Pubitemid 33632140)
4. Boiral, O. 2006. Global warming: should companies adopt a proactive strategy?. Long Range Planning, 39 (3): 315-330. (Pubitemid 44734576)
5. Bykzkan, G, and, Feyzioglu, O. 2008. Evaluation of suppliers environmental management performances by a fuzzy compromise ranking technique. Journal of Multiple-Valued Logic and Soft Computing, 14 (3-5): 309-324.
6. Carrera, DA, and, Mayorga, RV. 2008. Supply chain management: a modular fuzzy inference system approach in supplier selection for new product development. Journal of Intelligent Manufacturing, 19 (1): 1-12. (Pubitemid 351270139)
7. Cebi, S, and, Kahraman, C. 2010. Developing a group decision support system based on fuzzy information axiom. Knowledge-Based Systems, 23 (1): 3-16.
8. Celik, M. 2009a. Application of axiomatic design and TOPSIS methodologies under fuzzy environment for proposing competitive strategies in Turkish container ports in maritime transportation network. Expert Systems with Applications: An International Journal, 36 (3): 4541-4557.
9. Celik, M. 2009b. Fuzzy axiomatic design-based performance evaluation model for docking facilities in the shipbuilding industry: the case of Turkish shipyards. Expert Systems with Applications: An International Journal, 36 (1): 599-615.
10. Chan, FTS, and, Kumar, N. 2007. Global supplier development considering risk factors using a fuzzy extended AHP-based approach. Omega, 35 (4): 417-431. (Pubitemid 44426444)
11. Chan, FTS. 2008. Global supplier selection: a fuzzy-AHP approach. International Journal of Production Research, 46 (14): 3825-3857.
12. Che, ZH. 2010. A genetic algorithm-based model for solving multi-period supplier selection problem with assembly sequence. International Journal of Production Research, 48 (15): 4355-4377.
13. Chen, C-T. 2000. Extensions of the TOPSIS for group decision-making under a fuzzy environment. Fuzzy Sets and Systems, 114 (1): 1-9.
14. Chen, L.-H. and Hung, C.-C., 2010. An integrated fuzzy approach for the selection of outsourcing manufacturing partners in pharmaceutical R&D. International Journal of Production Research. iFirst, 26 January
15. Chen, SM. 1998. Aggregating fuzzy opinions in the group decision making environment. Cybernetics and Systems, 29 (4): 363-376.
16. Chen, SJ, and, Hwang, CL. 1992. Fuzzy multiple attribute decision making: methods and applications, Berlin: Springer-Verlag.
17. Cheng, CH. 1999. Evaluating weapon systems using ranking fuzzy numbers. Fuzzy Systems, 107 (1): 25-35.
18. Choy, KL, Lee, WB, and, Lo, V. 2004. Development of a case based intelligent supplier relationship management system-linking supplier rating system and product coding system. Supply Chain Management: An International Journal, 9 (1): 86-101. (Pubitemid 38588592)
19. Cruz, JM, and, Matsypura, D. 2009. Supply chain networks with corporate social responsibility through integrated environmental decision-making. International Journal of Production Research, 47 (3): 621-648.
20. Enarsson, L. 1998. Evaluation of suppliers: how to consider the environment?. International Journal of Physical Distribution & Logistics Management, 28 (1): 5-17.
21. Gladwin, TN, Kennelly, JJ, and, Krause, T. 1995. Shifting paradigms for sustainable development: implications for management theory and research. Academy of Management Review, 20 (4): 874-907. (Pubitemid 126003237)
22. Gupta, M. 1995. Environmental management and its impact on the operations function. International Journal of Operations & Production Management, 15 (8): 34-51. (Pubitemid 39032471)
23. Handfield, R. 2002. Applying environmental criteria to supplier assessment: a study in the application of the analytical hierarchy process. European Journal of Operational Research, 141 (1): 70-87. (Pubitemid 34545618)
24. Herrera, F, Herrera-Viedma, E, and, Chiclana, F. 2001. Multiperson decision-making based on multiplicative preference relations. European Journal of Operational Research, 129 (2): 372-385. (Pubitemid 32035361)
25. Hsu, C-W, and, Hu, AH. 2009. Applying hazardous substance management to supplier selection using analytic network process. Journal of Cleaner Production, 17 (2): 255-264.
26. Huang, SH, and, Keskar, H. 2007. Comprehensive and configurable metrics for supplier selection. International Journal of Production Economics, 105 (2): 510-523. (Pubitemid 44827615)
27. Humphreys, PK. 2006. Employing dynamic fuzzy membership functions to assess environmental performance in the supplier selection process. International Journal of Production Research, 44 (12): 2379-2419.
28. Humphreys, PK, McIvor, R, and, Chan, FTS. 2003. Using case-based reasoning to evaluate supplier environmental management performance. Expert Systems with Applications, 25 (2): 141-153.
29. Isiklar, G, Alptekin, E, and, Bykzkan, G. 2007. Application of a hybrid intelligent decision support model in logistics outsourcing. Computers & Operations Research, 34 (12): 3701-3714. (Pubitemid 46661040)
30. Jabbour, ABLS, and, Jabbour, CJC. 2009. Are supplier selection criteria going green?. Case studies of companies in Brazil. Industrial Management & Data Systems, 109 (4): 477-495.
31. Kahraman, C, and, Cebi, S. 2009. A new multi-attribute decision making method: hierarchical fuzzy axiomatic design. Expert Systems with Applications: An International Journal, 36 (3): 4848-4861.
32. Kahraman, C, and, Kulak, O. 2005. Fuzzy multi-attribute decision making using an information axiom based approach. In Fuzzy multi-criteria decision-making: theory and applications with recent developments, Edited by: Kahraman, C. New York: Springer.
33. Kongar, E., 2005. A comparative study on multiple criteria heuristic approaches for environmentally benign 3PLs selection. Proceeding of the 3rd International Logistics and Supply Chain Congress, November, Istanbul, Turkey
34. Kovacs, G. 2008. Corporate environmental responsibility in the supply chain. Journal of Cleaner Production, 16 (15): 1571-1578.
35. Kulak, O, and, Kahraman, C. 2005a. Multi-attribute comparison of advanced manufacturing systems using fuzzy vs. crisp axiomatic design approach. International Journal of Production Economics, 95 (3): 415-424. (Pubitemid 40114615)
36. Kulak, O, and, Kahraman, C. 2005b. Fuzzy multi-attribute selection among transportation companies using axiomatic design and analytic hierarchy process. Information Sciences, 170 (2-4): 191-210. (Pubitemid 40183405)
37. Kulak, O, Cebi, S, and, Kahraman, C. 2010. Applications of axiomatic design principles: a literature review. Expert Systems with Applications, 37 (9): 6705-6717.
38. Kumar, M, Vrat, P, and, Shankar, R. 2006. A fuzzy goal programming approach for vendor selection problem in a supply chain. International Journal of Production Economics, 101 (2): 273-285. (Pubitemid 43177615)
39. Kuo, M-S, Tzeng, G-H, and, Huang, W-C. 2007. Group decision-making based on concepts of ideal and anti-ideal points in a fuzzy environment. Mathematical and Computer Modeling, 45 (3-4): 324-339. (Pubitemid 44739241)
40. Kuo, RJ, Wang, YC, and, Tien, FC. 2010. Integration of artificial neural network and MADA methods for green supplier selection. Journal of Cleaner Production, 18 (12): 1161-1170.
41. Lee, AHI. 2009. A fuzzy AHP evaluation model for buyer-supplier relationships with the consideration of benefits, opportunities, costs and risks. International Journal of Production Research, 47 (15): 4255-4280.
42. Lee, AHI. 2009. A green supplier selection model for high-tech industry. Expert Systems with Applications, 36 (4): 7917-7927.
43. Liao, Z, and, Rittscher, J. 2007. A multi-objective supplier selection model under stochastic demand conditions. International Journal of Production Economics, 105 (1): 150-159. (Pubitemid 44636203)
44. Lin, HT, and, Chang, WL. 2008. Order selection and pricing methods using flexible quantity and fuzzy approach for buyer evaluation. European Journal of Operational Research, 187 (2): 415-428.
45. Lin, R-H. 2009. An integrated FANP-MOLP for supplier evaluation and order allocation. Applied Mathematical Modelling, 33 (6): 2730-2736.
46. Lockstrom, M. 2010. Antecedents to supplier integration in the automotive, industry: a multiple-case study of foreign subsidiaries in China. Journal of Operations Management, 28 (3): 240-256.
47. Lu, LYY, Wu, CH, and, Kuo, T-C. 2007. Environmental principles applicable to green supplier evaluation by using multi-objective decision analysis. International Journal of Production Research, 45 (18-19): 4317-4331. (Pubitemid 47351661)
48. Matos, S, and, Hall, J. 2007. Integrating sustainable development in the supply chain: the case of life cycle assessment in oil and gas and agricultural biotechnology. Journal of Operations Management, 25 (6): 1083-1102. (Pubitemid 47429822)
49. Min, H. 1994. International supplier selection: a multi-attribute utility approach. International Journal of Physical Distribution & Logistics Management, 24 (5): 24-33.
50. Ming-Lang, T, Chiang, JH, and, Lan, LW. 2009. Selection of optimal supplier in supply chain management strategy with analytic network process and choquet integral. Computers and Industrial Engineering, 57 (1): 330-340.
51. Motwani, J. 1999. Supplier selection in developing countries: a model development. Integrated Manufacturing Systems, 10 (3): 154-162.
52. Noci, G. 1997. Designing green vendor rating systems for the assessment of a supplier's environmental performance. European Journal of Purchasing and Supply Management, 3 (2): 103-114. (Pubitemid 127164018)
53. Pomerol, J-C, and, Romero, SB. 2000. Multicriterion decision in management: principles and practice, Norwell: Kluwer Academic Publishers.
54. Pun, KF. 2006. Determinants of environmentally responsible operations: a review. International Journal of Quality & Reliability Management, 23 (3): 279-297. (Pubitemid 43384351)
55. Rao, P, and, Holt, D. 2005. Do green supply chains lead to competitiveness and economic performance?. International Journal of Operations and Production Management, 25 (2): 898-916. (Pubitemid 41218423)
56. Saaty, TL. 1980. The analytic hierarchy process, New York: McGraw-Hill Company.
57. Saaty, TL, and, Vargas, LG. 2001. Models, methods, concepts and applications of the analytic hierarchy process, Boston: Kluwer Academic Publishers.
58. Sarkis, J. 1998. Evaluating environmentally conscious business practices. European Journal of Operational Research, 107 (1): 159-174. (Pubitemid 128391335)
59. Sarkis, J. 2003. A strategic decision framework for green supply chain management. Journal of Cleaner Production, 11 (4): 397-409.
60. Sen, CG, Sen, S, and, Basligil, H. 2010. Pre-selection of suppliers through an integrated fuzzy analytic hierarchy process and max-min methodology. International Journal of Production Research, 48 (6): 1603-1625.
61. Sevkli, M. 2010. An application of the fuzzy ELECTRE method for supplier selection. International Journal of Production Research, 48 (12): 3393-3405.
62. Sevkli, M. 2007. An application of data envelopment analytic hierarchy process for supplier selection: a case study of BEKO in Turkey. International Journal of Production Research, 45 (9): 1973-2003. (Pubitemid 46433010)
63. Shih, H-S. 2008. Incremental analysis for MCDM with an application to group TOPSIS. European Journal of Operational Research, 186 (2): 720-734. (Pubitemid 47615324)
64. Stavropolous, N. 2000. Suppliers in the new economy. Telecommunications Journal of Australia, 50 (4): 27-29.
65. Suh, NP. 1990. The principles of design, New York: Oxford University Press.
66. Suh, NP. 2001. Axiomatic design; advances applications, New York: Oxford University Press.
67. Tsai, W-H, and, Hung, S-J. 2009. A fuzzy goal programming approach for green supply chain optimization under activity-based costing and performance evaluation with a value-chain structure. International Journal of Production Research, 47 (18): 4991-5017.
68. Tuzkaya, G. 2009. Environmental performance evaluation of suppliers: a hybrid fuzzy multi-criteria decision approach. International Journal of Environmental Science and Technology, 6 (3): 477-490.
69. Vachon, S, and, Klassen, RD. 2006. Green project partnership in the supply chain: the case of the package printing industry. Journal of Cleaner Production, 14 (6-7): 661-671. (Pubitemid 43189935)
70. Vahdani, B, and, Zandieh, M. 2010. Selecting suppliers using a new fuzzy multiple criteria decision model: the fuzzy balancing and ranking method. International Journal of Production Research, 48 (18): 5307-5326.
71. Verghese, K, and, Lewis, H. 2007. Environmental innovation in industrial packaging: a supply chain approach. International Journal of Production Research, 45 (18): 4381-4401. (Pubitemid 47351664)
72. Walton, SV, Handfield, RB, and, Melnyk, SA. 2006. The green supply chain: integrating suppliers into environmental management processes. Journal of Supply Chain Management, 34 (2): 2-11.
73. Weber, CA, Current, JR, and, Benton, WC. 1991. Vendor selection criteria and methods. European Journal of Operational Research, 50 (1): 2-18. (Pubitemid 21654539)
74. Welford, R, and, Starkey, R. 1996. Business and the environment, London: Earthscan.
75. Wu, T, and, Blackhurst, J. 2009. Supplier evaluation and selection: an augmented DEA approach. International Journal of Production Research, 47 (16): 4593-4608.
76. Wu, D. 2009. Supplier selection: a hybrid model using DEA, decision tree and neural network. Expert Systems with Applications, 36 (5): 9105-9112.
77. Yuzhong, Y. and Liyun, W., 2007. Grey entropy method for green supplier selection. Proceedings of International Conference on Wireless Communications, Networking and Mobile Computing, September, Shanghai, China, 4682-4685
78. Zadeh, LA. 1965. Fuzzy sets. Information Control, 8 (3): 338-353.
79. Zadeh, LA. 1975. The concept of a linguistic variable and its applications to approximate reasoning. Information Sciences, 8: 199-249 (I); 301-357 (II).
80. Zaim, S, Sevkli, M, and, Tarim, M. 2003. Fuzzy analytic hierarchy based approach for supplier selection. Journal of Euromarketing, 12 (3): 147-176. (Pubitemid 38098752)
81. Zhang, D. 2009. A novel approach to supplier selection based on vague sets group decision. Expert Systems with Applications, 36 (5): 9557-9563.
82. Zhang, GQ, and, Lu, J. 2003. An integrated group decision-making method dealing with fuzzy preferences for alternatives and individual judgments for selection criteria. Group Decision and Negotiation, 12 (6): 501-515. (Pubitemid 39063690)
83. Zhu, O, Sarkis, J, and, Geng, Y. 2005. Green supply chain management in China: pressures, practices and performance. International Journal of Operations and Production Management, 25 (5): 449-468. (Pubitemid 40689077)
84. Zimmermann, HJ. 1985. Fuzzy set theory and its applications, Boston, MA: Kluwer.