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An integrated FANP-MOLP for supplier evaluation and order allocation. (English) Zbl 1205.90051
Summary: In the face of acute global competition, supplier management is rapidly emerging as a crucial issue to any companies striving for business success and sustainable development. To optimize competitive advantages, a company should incorporate “suppliers” as an essential part of its core competencies. Supplier evaluation, the first step in supplier management, is a complex multi-criteria decision-making (MCDM) problem, and its complexity is further aggravated if the highly important interdependence among the selection criteria is taken into consideration. The objective of this paper is to suggest a comprehensive decision method for identifying top suppliers by considering the effects of interdependence among the selection criteria, as well as to achieve optimal allocation of orders among the selected suppliers.
MSC:
90B06Transportation, logistics
90B15Network models, stochastic (optimization)
90C29Multi-objective programming; goal programming
90C70Fuzzy programming
References:
[1]Dulmin, R.; Mininno, V.: Supplier selection using a multi-criteria decision aid method, J. purchasing supply manage. 9, No. 4, 177-187 (2003)
[2]Boer, L.; Labro, E.; Morlacchi, P.: A review of methods supporting supplier selection, Eur. J. Purchasing supply manage. 7, 75-89 (2001)
[3]Choy, K. L.; Lee, W. B.; Lo, V.: Design of a case based intelligent supplier relationship management system – the integration of supplier rating system and product coding system, Expert syst. Appl. 25, No. 1, 87-100 (2003)
[4]Weber, C. H.; Current, J. R.; Desai, A.: Non-cooperative negotiation strategies for vendor selection, Eur. J. Operat. res. 108, No. 1, 208-223 (1998) · Zbl 0952.91049 · doi:10.1016/S0377-2217(97)00131-8
[5]Talluri, S.: A buyer – seller game model for selection and negotiation of purchasing bids, Eur. J. Operat. res. 143, No. 1, 171-180 (2002) · Zbl 1073.91525 · doi:10.1016/S0377-2217(01)00333-2
[6]Tam, M. C. Y.; Tummala, V. M. R.: An application of the AHP in vendor selection of a telecommunications system, Omega 29, No. 2, 171-182 (2001)
[7]Degraeve, Z.; Labro, E.; Roodhooft, F.: An evaluation of vendor selection models from a total cost of ownership perspective, Eur. J. Operat. res. 125, No. 1, 34-58 (2000) · Zbl 0959.90027 · doi:10.1016/S0377-2217(99)00199-X
[8]Roodhooft, F.; Konings, J.: Vendor selection and evaluation an activity based costing approach, Eur. J. Operat. res. 96, No. 1, 97-102 (1997) · Zbl 0926.90051 · doi:10.1016/0377-2217(95)00383-5
[9]Talluri, S.; Narasimhan, R.: Vendor evaluation with performance variability: a MAX – MIN approach, Eur. J. Operat. res. 146, No. 3, 543-552 (2003) · Zbl 1037.90522 · doi:10.1016/S0377-2217(02)00230-8
[10]Zhu, J.: A buyer – seller game model for selection and negotiation of purchasing bids: extensions and new models, Eur. J. Operat. res. 154, No. 1, 150-156 (2004) · Zbl 1099.91505 · doi:10.1016/S0377-2217(02)00697-5
[11]Mikhailov, L.; Singh, M.: Fuzzy assessment of priorities with application to the competitive bidding, J. decision syst. 8, No. 1, 11-28 (1999)
[12]Sarkis, J.: Evaluating environmentally conscious business practices, Eur. J. Operat. res. 107, No. 1, 159-174 (1998) · Zbl 0943.91515 · doi:10.1016/S0377-2217(97)00160-4
[13]Meade, L. M.; Presley, A.: R&D project selection using the analytic network process, IEEE trans. Eng. manage. 49, No. 1, 59-66 (2002)
[14]Niemira, M. P.; Saaty, T. L.: An analytical network process model for financial-crisis forecasting, Int. J. Forecast. 20, No. 4, 573-587 (2004)
[15]Yurdakul, M.: AHP as a strategic decision making tool to justify machine tool selection, J. mater. Process. technol. 146, No. 3, 365-376 (2004)
[16]Gencer, C.; Gürpinar, D.: Analytic network process in supplier selection: a case study in an electronic firm, Appl. math. Modell. 31, 2475-2486 (2007) · Zbl 1149.90350 · doi:10.1016/j.apm.2006.10.002
[17]Wey, W. M.; Wu, K. Y.: Using ANP priorities with goal programming in resource allocation in transportation, Math. comput. Modell. 46, 985-1000 (2007)
[18]Ustun, O.; Demirtas, E. A.: An integrated multi-objective decision-making process for multi-period lot-sizing with supplier selection, Omega 36, 509-521 (2008)
[19]Yu, R.; Tzeng, G. H.: A soft computing method for multi-criteria decision making with dependence and feedback, Appl. math. Comput. 180, No. 1, 63-75 (2006) · Zbl 1102.90360 · doi:10.1016/j.amc.2005.11.163
[20]Saaty, T. L.: The analytic hierarchy process, (1980) · Zbl 0587.90002
[21]Srdjevic, B.: Combining different prioritization methods in the analytic hierarchy process synthesis, Comput. oper. Res. 32, No. 7, 1897-1919 (2005) · Zbl 1075.90530 · doi:10.1016/j.cor.2003.12.005