A Fuzzy MCDM Approach to Evaluate Green Suppliers

International Journal of Computational Intelligence Systems

Volumn 4, Issue 5, 2011, Pages 894-909

  Çifçi, Gizem ^a   Büyüközkan, Gülçin ^a  

^a GALATASARAY UNIVERSITY   (Turkey)

Author keywords

analytic hierarchy process; Environmental protection; fuzzy sets; green suppliers; group decision making

Indexed keywords

DECISION FRAMEWORK; FUZZY ANALYTIC HIERARCHY PROCESS; FUZZY MCDM; GREEN PRODUCTION; GREEN SUPPLIER; GROUP DECISION MAKING; INDUSTRIAL PRODUCTION; MULTI CRITERIA ANALYSIS; MULTI-CRITERIA; MULTI-CRITERIA DECISION MAKING; SOLUTION APPROACH; SUPPLIER EVALUATIONS;

ANALYTIC HIERARCHY PROCESS; DECISION MAKING; ENVIRONMENTAL PROTECTION; FUZZY SETS; SUPPLY CHAINS;

AIRFOILS;

EID: 84860871547     PISSN: 18756891     EISSN: 18756883     Source Type: Journal    
DOI: 10.1080/18756891.2011.9727840     Document Type: Article

References (60)

1. Jabbour, A. B. L. S. and Jabbour, C. J. C. 2009. Are supplier selection criteria going green? Case studies of companies in Brazil. Industrial Management & Data Systems, 109: 477-495.
2. Svensson, G. 2007. Aspects of sustainable supply chain management (SSCM): conceptual framework and empirical example. Supply Chain Management: An International Journal, 12(4): 262-266.
3. Ofori, G. 2000. Greening the construction supply chain in Singapore. European Journal of Purchasing & Supply Chain Management, 6(3-4): 195-206.
4. Kovacs, G. 2008. Corporate environmental responsibility in the supply chain. Journal of Cleaner Production, 16(15): 1571-1578.
5. Handfield, R., Walton, S., Sroufe, R. and Melnyk, S. 2002. Applying environmental criteria to supplier assessment: a study in the application of the analytical hierarchy process. European Journal of Operational Research, 141: 70-87.
6. Simpson, D. F. and Power, D. J. 2005. Use the supply relationship to develop lean and green suppliers. Supply Chain Management: An International Journal, 10: 60-68.
7. Sarkis, J. 2003. A strategic decision framework for green supply chain management. Journal of Cleaner Production, 11(4): 397-409.
8. Hall, J. 2000. Environmental supply chain dynamics. Journal of Cleaner Production, 8(3): 455-471.
9. Wu, D. 2009. Supplier selection: A hybrid model using DEA, decision tree and neural network. Expert Systems with Applications, 36: 9105-9112.
10. Sevkli, M., Koh, S. C. L., Zaim, S., Demirbag, M. and Tatoglu, E. 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: 1973-2003.
11. Chan, F. T. S. and Kumar, N. 2007. Global supplier development considering risk factors using fuzzy extended AHP-based approach. Omega, 35: 417-431.
12. Saaty, T. L. 1980. The Analytical Hierarchy Process, New York: McGraw-Hill.
13. Zadeh, L. A. 1965. Fuzzy set. Information and Control, 8: 338-353.
14. Chiclana, F., Herrera, F. and Herrera-Viedma, E. 1998. Integrating three representation models in fuzzy multipurpose decision making based on fuzzy preference relations. Fuzzy Sets and Systems, 97: 33-48.
15. Herrera, F., Herrera-Viedma, E. and Chiclana, F. 2001. Multiperson decision-making based on multiplicative preference relations. European Journal of Operational Research, 129: 372-385.
16. Lee, J. W. and Kim, S. H. 2000. Using analytic network process and goal programming for interdependent information system project selection. Computers & Operations Research, 27: 367-382.
17. 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,: 1-27.
18. Bowen, F., Cousins, P., Lamming, R. and Faruk, A. 2001. The role of supply management capabilities in green supply. Production and Operations Management, 10(2): 174-189.
19. Lee, A. H. I., Kang, H.-Y., Hsu, C.-F. and Hung, H.-C. 2009. A green supplier selection model for high-tech industry. Expert Systems with Applications, 36: 7917-7927.
20. Noci, G. 1997. Designing green vendor rating systems for the assessment of a supplier's environmental performance. European Journal of Purchasing and Supply Management, 2: 103-114.
21. Rao, P. and Holt, D. 2005. Do green supply chains lead to competitiveness and economic performance?. International Journal of Operations & Production Management, 25: 898-916.
22. Humphreys, P. K., Wong, Y. K. and han, F. T. S. C. 2003. Integrating environmental criteria into the supplier selection process. Journal of Materials Processing Technology, 138: 349-356.
23. Lu, L. Y. Y., Wu, C. H. and Kuo, T.-C. 2007. Environmental principles applicable to green supplier evaluation by using multiobjective decision analysis. International Journal of Production Research, 45: 4317-4331.
24. Hsu, C.-W. and Hu, A. H. 2009. Applying hazardous substance management to supplier selection using analytic network process. Journal of Cleaner Production, 17(2): 255-264.
25. Kuo, R. J., Wang, Y. C. and Tien, F. C. 2010. Integration of artificial neural network and MADA methods for green supplier selection. Journal of Cleaner Production, 18(12): 1161-1170.
26. Awasthi, A., Chauhan, S. S. and Goyal, S. K. 2010. A fuzzy multicriteria approach for evaluating environmental performance of suppliers. International Journal of Production Economics, 126(2): 370-378.
27. Gladwin, T. N., Kennelly, J. J. and Krause, T. 1995. Shifting paradigms for sustainable development: implications for management theory and research. Academy of Management Review, 20: 874-907.
28. 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: 1083-1102.
29. Zhang, D., Zhang, J., Lai, K. K. and Lu, Y. 2009. An novel approach to supplier selection based on vague sets group decision. Expert Systems with Applications, 36: 9557-9563.
30. Stavropolous, N. 2000. Suppliers in the new economy. Telecommunications Journal of Australia, 50: 27-29.
31. Ming-Lang, T., Chiang, J. H. and Lan, L. W. 2009. Selection of optimal supplier in supply chain management strategy with analytic network process and choquet integral. Computers & Industrial Engineering, 57: 330-340.
32. Lee, A. H. I. 2009. A fuzzy supplier selection model with the consideration of benefits, opportunities, costs and risks. Expert Systems with Applications, 36(2): 2879-2893.
33. Motwani, J., Youssef, M., Kathawala, Y. and Futch, E. Supplier selection in developing countries: a model development. Integrated Manufacturing Systems, 10(3)154-162.
34. Min, H. 1994. International Supplier Selection: A Multiattribute Utility Approach. International Journal of Physical Distribution & Logistics Management, 24(5): 24-33.
35. Huang, S. H. and Keskar, H. 2007. Comprehensive and configurable metrics for supplier selection. International Journal of Production Economics, 105(2): 510-523.
36. Chan, F. T. S., Kumar, N., Tiwari, M. K., Lau, H. C. W. and Choy, K. L. 2008. Global supplier selection: a fuzzy- AHP approach. International Journal of Production Research, 46(14): 3825-3857.
37. 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.
38. Carrera, D. A. and Mayorga, R. V. 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.
39. Liao, Z. and Rittscher, J. 2007. Integration of supplier selection, procurement lot sizing and carrier selection under dynamic demand conditions, 107(2): 502-510.
40. Zaim, S., Sevkli, M. and Tarim, M. 2003. Fuzzy Analytic Hierarchy Based Approach for Supplier Selection. Journal of Euromarketing, 12(3): 147-176.
41. Lee, E.-K., Ha, S. and Kim, S.-K. 2001. Supplier selection and management system considering relationships in supply chain management. Engineering Management IEEE Transactions, on 48(3): 307-318.
42. Wu, D. 2009. Supplier selection in a fuzzy group setting: A method using grey related analysis and Dempster-Shafer theory. Expert Systems with Applications, 36: 8892-8899.
43. Weber, C. A., Current, J. R. and Benton, W. C. 1991. Vendor selection criteria and methods. European Journal of Operational Research, 50: 2-18.
44. Lin, H. T. and Chang, W. L. 2008. Order selection and pricing methods using flexible quantity and fuzzy approach for buyer evaluation. European Journal of Operational Research, 187: 415-428.
45. Sarkis, J., Nehaman, G. and Priest, J. A systemic evaluations model for environmentally friendly conscious business practices and strategy. proceedings of the IEEE International Symposium on Electronics and the Environment. Dallas, Texas. pp.281-286.
46. Humphreys, P., Mccloskey, A., Mcivor, R., Maguire, L. and Glackin, C. 2006. Employing dynamic fuzzy membership functions to assess environmental performance in the supplier selection process. International Journal of Production Research, 44(12)
47. Zanakis, S., Solomon, A., Wishart, N. and Dubish, S. 1998. Multi-attribute decision making: A simulation comparison of select methods. European Journal of Operations Research, 107: 507-529.
48. Duran, O. and Aguilo, J. 2008. Computer-aided machinetool selection based on a Fuzzy-AHP approach. Expert Systems with Applications, 34
49. Herrera-Viedma, E., Chiclana, F., Herrera, F. and Alonso, S. 2007. Group Decision-Making Model with Incomplete Fuzzy Preference Relations Based on Additive Consistency. IEEE Transactions On Systems, Man, And Cybernetics-Part B: Cybernetics, 37(1): 176-189.
50. Lu, J., Zhang, G. and Wu, F. 2008. Team Situation Awareness Using Web-based Fuzzy Group Decision Support Systems. International Journal of Computational Intelligence Systems, 1(1): 50-59.
51. Li, X., Ruan, D., Liu, J. and Xu, Y. 2008. A Linguistic- Valued Weighted Aggregation Operator to Multiple Attribute Group Decision Making with Quantative and Qualitative Information. International Journal of Computational Intelligence Systems, 1(3): 274-284.
52. Wei, G., Zhao, X. and Lin, R. 2010. Some Induced Aggregating Operators with Fuzzy Number Intuitionistic Fuzzy Information and their Applications to Group Decision Making. International Journal of Computational Intelligence Systems, 3(1): 84-95.
53. Entani, T. and Inuiguchi, M. 2010. Group Decisions in Interval AHP Based on Interval Regression Analysis. Advances in Soft Computing, 68: 269-280.
54. Wang, Y.-M. and Chin, K.-S. 2009. A new data envelopment analysis method for priority determination and group decision making in the analytic hierarchy process. European Journal of Operational Research, 195(1): 239-250.
55. Dong, Y., Zhang, G., Hong, W.-C. and Xu, Y. 2010. Consensus models for AHP group decision making under row geometric mean prioritization method. Decision Support Systems, 49(3): 281-289.
56. Tuzkaya, U. R. and Önüt, S. 2008. A fuzzy analytic network process based approach to transportation-model selection between Turkey and Germany: A case study. Information Sciences, 178: 3133-3146.
57. Tuzkaya, G., Ozgen, A., Ozgen, D. and Tuzkaya, U. R. 2009. Environmental performance evaluation of suppliers: A hybrid fuzzy multi-criteria decision approach. International Journal of Environmental Science and Technology, 6: 477-490.
58. Lockström, M., Schadel, J., Harrison, N., Mose, R. M. and Malhotra, K. 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.
59. Kahraman, C., Büyüközkan, G. and Ateş, N. Y. 2007. A two phase multi-attribute decision-making approach for new product introduction. Information Sciences, 177(7): 1567-1582.
60. Kahraman, C., Çevik, S., Ates, N. Y. and Gülbay, M. 2007. Fuzzy multi-criteria evaluation of industrial robotic systems. Computers & Industrial Engineering, 52(4): 414-433.