Identifying and Selecting the Best Suppliers Using Multiple Attribute Decision Making Method QUALIFLEX

Subject Areas : Industrial Management

Sohil  Hossinzadeh ¹ (M.A, University of Tehran College, of Farabi, Qom)
Hashem  Moazzez ² (Assistant professor, University of Tehran College of Farabi, Qom)
Sasan  Beiginaloei ³ (M.A, University of Tehran, College of Farabi, Qom)

Received: 2016-05-07 Accepted : 2016-12-31 Published : 2016-12-10

Keywords:

Abstract :

Over the two recent decades utilizing out of the concept of management of supply chain on the industry and the subject of the option of the supplier has attracted too much attention towards itself. The supply chain is a vital factor for the competitiveness of organizations. This probe aimed at to elucidation of a structured method for the evaluation and option of the supplier. Based on this issue and over the one step by step process the appropriate supplier is being chosen among the Qom Refah chain store’s suppliers of dairy and beverage, by usage and employment out of related data. The universal statistics of this survey are the managers and staff of Refah store of Qom. Thus after recognition of key indicators by the method of group AHP, the weight of indicators is being specified. As well for the comparison and ranking of suppliers the method of QUALIFLEX is being used, which it is used in the decision explanation, because of the flexibility of multiple criteria of decision-making and sequential information. Based upon search consequences the final ranking of suppliers on the beverage products is being formed as C > A > D > B and the final ranking of suppliers on the dairy products as well ranked as F > E > G.

References:

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7-      Mandal, A., & Deshmukh, S. G. (1994). Vendor selection using interpretive structural modelling (ISM). International Journal of Operations & Production Management, 14(6), 52-59.‏

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10-  Muralidharan, C., Anantharaman, N., & Deshmukh, S. G. (2001). Vendor rating in purchasing scenario: a confidence interval approach. International Journal of Operations & Production Management, 21(10), 1305-1326.

11-  Paelinck, J. H. (1977). Qualitative multiple criteria analysis, environmental protection and multiregional development. Papers in Regional Science, 36(1), 59-76.

12-  Razmi, J., Akbari Jowkar, M. R., & Karbasian, S. (2004). Providing a decision support model for planning, evaluation and selection of the market supply chain. Quarterly Journal of Commerce, No. 30.

13-  Rebai, A., Aouni, B., & Martel, J. M. (2006). A multi-attribute method for choosing among potential alternatives with ordinal evaluation. European journal of operational research, 174(1), 360-373.

14-  Sheng, Z. H., Zhu, Q., & Wu, G. M. (1996). DEA theory, method and application.‏

15-  Weber, C. A., & Current, J. R. (1993). A multi objective approach to vendor selection. European Journal of Operational Research, 68(2), 173-184.

16-  Xia, W., & Wu, Z. (2007). Supplier selection with multiple criteria in volume discount environments. Omega, 35(5), 494-504.

17-  Zhang, J. L., & Zhang, M. Y. (2011). Supplier selection and purchase problem with fixed cost and constrained order quantities under stochastic demand. International Journal of Production Economics, 129(1), 1-7.

1-      Chan, F. S. (2003). Interactive selection model for supplier selection process: an analytical hierarchy process approach. International Journal of Production Research, 41(15), 3549-3579.‏

2-      Chen, T. Y. (2011). Signed distanced-based TOPSIS method for multiple criteria decision analysis based on generalized interval-valued fuzzy numbers. International Journal of Information Technology & Decision Making, 10(06), 1131-1159.

3-      Dickson, G. W. (1966). An analysis of vendor selection and the buying process. Journal of Purchasing, 2(1), 5-17.

4-      Kumar, M., Vrat, P., & Shankar, R. (2004). A fuzzy goal programming approach for vendor selection problem in a supply chain. Computers & Industrial Engineering, 46(1), 69-85.

5-      Lahdelma, R., Miettinen, K., & Salminen, P. (2003). Ordinal criteria in stochastic multicriteria acceptability analysis (SMAA). European Journal of Operational Research, 147(1), 117-127.

6-      Liu, F. H. F., & Hai, H. L. (2005). The voting analytic hierarchy process method for selecting supplier. International Journal of Production Economics, 97(3), 308-317.‏

7-      Mandal, A., & Deshmukh, S. G. (1994). Vendor selection using interpretive structural modelling (ISM). International Journal of Operations & Production Management, 14(6), 52-59.‏

8-      Mehregan, M. R. (2011). Advanced operational research. Academic Publishing, Tehran, Eighth Edition.

9-      Mohamedpour, M. (2006). Provide a framework for the ranking of institutions of Iran Telecommunication Research Center with the approach Multi ORESTE and MAUT. master's thesis, University of Tehran.

10-  Muralidharan, C., Anantharaman, N., & Deshmukh, S. G. (2001). Vendor rating in purchasing scenario: a confidence interval approach. International Journal of Operations & Production Management, 21(10), 1305-1326.

11-  Paelinck, J. H. (1977). Qualitative multiple criteria analysis, environmental protection and multiregional development. Papers in Regional Science, 36(1), 59-76.

12-  Razmi, J., Akbari Jowkar, M. R., & Karbasian, S. (2004). Providing a decision support model for planning, evaluation and selection of the market supply chain. Quarterly Journal of Commerce, No. 30.

13-  Rebai, A., Aouni, B., & Martel, J. M. (2006). A multi-attribute method for choosing among potential alternatives with ordinal evaluation. European journal of operational research, 174(1), 360-373.

14-  Sheng, Z. H., Zhu, Q., & Wu, G. M. (1996). DEA theory, method and application.‏

15-  Weber, C. A., & Current, J. R. (1993). A multi objective approach to vendor selection. European Journal of Operational Research, 68(2), 173-184.

16-  Xia, W., & Wu, Z. (2007). Supplier selection with multiple criteria in volume discount environments. Omega, 35(5), 494-504.

17-  Zhang, J. L., & Zhang, M. Y. (2011). Supplier selection and purchase problem with fixed cost and constrained order quantities under stochastic demand. International Journal of Production Economics, 129(1), 1-7.