Abstract
The supply chain is an important element for the development of all industries. It can improve efficiency and effectiveness of product transfer and information sharing between complex hierarchies of all the tiers. Supplier selection is an important step in the supply chain design. In many existing decision models for supplier selection, only quantitative criteria are considered. However, supplier selection is a multi-objective problem containing quantitative as well as qualitative factors. It is difficult to map human perception to particular number or a ratio due to vagueness in the decision making process. Fuzzy Analytic Hierarchy Process (FAHP) therefore helps the decision makers to deal with imprecision and subjectiveness in pair-wise comparison process. This study aims to provide a systematic approach towards the application of FAHP to supplier selection problem. FAHP is applied to find the importance degree of each criterion as the measurable indices of the supplier. From an extensive analysis of the results, it is observed that selection of an appropriate supplier would result in improving effectiveness of supply chain. Thus, the overall rank ordering of alternatives as identified by fuzzy AHP seems reasonable and consistent with managerial preferences and judgments.
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Ballow, R.H.: Business Logistics Management. Prentice-Hall, New York (1999)
Buckley, J.J.: Fuzzy hierarchical analysis. Fuzzy Sets Syst. 17, 233–247 (1985)
Chan, F.T.S.: Performance measurement in a supply chain. Int. J. Adv. Manufact. Technol. 21, 534–548 (2003)
Chan, F.T.S., Chung, S.H.: Multi-criteria genetic optimization for distribution network problems. Int. J. Adv. Manufact. Technol. 24(7), 517–532 (2004)
Chang, D.Y.: Applications of the extent analysis method on fuzzy AHP. Eur. J. Oper. Res. 95, 649–655 (1996)
Dempsey, W.A.: Vendor selection and the buying process. Ind. Mark. Manage. 7(3), 257–267 (1978)
Deng, H.: Multicriteria analysis with fuzzy pairwise comparison. Int. J. Approximate Reasoning 21(3), 215–231 (1999)
Dickson, G.W.: An analysis of vendor selection system and decisions. J. Purchasing 2(1), 5–17 (1966)
Ellram, L.M.: Total cost of ownership: an analysis approach for purchasing. Int. J. Phys. Distribution Logistics 25(8), 163–184 (1995)
Handeld, R., Walton, S.V., Sroufe, R., Melnyk, S.A.: Applying environmental criteria to supplier assessment: a study in the application of the analytical hierarchy process. Eur. J. Oper. Res. 141, 70–87 (2002)
Hou, J.C., Su, D., Hull, J.B.: Integration of web-based techniques and business strategies into the development of a network supported-system for supplier selection. In: The 8th International Conference on Computer Supported Cooperative Work in Design Proceedings (2003)
Kahraman, C., Cebeci, U., Da, Ruan: Multi-attribute comparison of catering service companies using fuzzy AHP: the case of turkey. Int. J. Prod. Econ. 87, 171–184 (2004)
Lambert, D., Stock, J., Ellram, L.: Fundamentals of Logistics Management. McGraw-Hill, New York (1998)
Lee, H.J., Meng, M.C., Cheong, C.W.: Web based fuzzy multicriteria decision tool. Int. J. Comput. Internet Manage. 14(2), 1–14 (2006)
Mikhailov, L.: Deriving priorities from fuzzy pairwise comparison judgments. Fuzzy Sets Syst. 134(3), 365–385 (2003)
Noorul, A.H., Hannan, G.: Fuzzy analytical hierarchy process for evaluating and selecting a vendor in a supply chain model. Int. J. Adv. Manufact. Technol. 29, 826–835 (2006)
Nydick, R.L., Hill, R.P.: Using the analytic hierarchy process to structure the supplier selection procedure. Int. J. Purchasing Mater. Manage. 28(2), 31–36 (1992)
Patton, W.W.: Use of human judgment models in industrial buyer’s vendor selection decisions. Ind. Mark. Manage. 25(2), 135–149 (1996)
Petroni, A., Braglia, M.: Vendor selection using principal component analysis. J. Supply Chain Manage.: Glob. Rev. Purchasing Supply 36(2), 63–69 (2000)
Saaty, T.L.: Fundamentals of Decision Making and Priority Theory, 2nd edn. RWS Publication, Pittsburgh (2000)
Saaty, T.L.: Rank, normalization and idealization in the analytic hierarchy process. In: The 7th International Symposium on Analytic Hierarchy process (2003)
Sarode, A.D., Sunnapwar, V.K., Khodke, P.M.: A literature review for identification of performance measures for establishing a frame work for performance measurement in supply chains. Int. J. Appl. Manag. Technol. 6(3), 241–287 (2008)
Sheu, J.-B.: A Hybrid fuzzy-based approach for identifying global logistics Strategies. Trans. Res. Part E, 40, 39–61 (2004)
Stanley, L.L., Wisner, D.J.: The determinants of service quality: issues for Purchasing. Eur. J. Purchasing Supply Chain Manage. 8(2), 97–109 (2001)
Tahriri, F., Ali, A., Yusuff, R.M.: A review of supplier selection methods in manufacturing industries. Suranaree J. Sci. Technol. 15(3), 201–208 (2008)
Talluri, S., Narasimhan, R.: Vendor evaluation with performance variability: a max-min approach. Eur. J. Oper. Res. 146(3), 543–552 (2003)
Tam, M.C.Y., Tummala, V.M.R.: An application of the AHP in vendor selection of a telecommunications system. Omega, Int. J. Manage. Sci. 29(2), 171–182 (2001)
Timmerman, E.: An approach to vendor performance evaluation. J. Supply Chain Manage. 22(4), 2–8 (1986)
Vaidya, O.S., Kumar, S.: Analytic hierarchy process: an overview of Applications. Eur. J. Oper. Res. (published online, 12 April 2004) (2004)
van Laarhoven, P.J.M., Pedrycz, W.: A fuzzy extension of Saaty`s priority theory. Fuzzy Sets Syst. 11, 229–241 (1983)
Vanegas, L., Labib, W.: A fuzzy quality function deployment (FQFD) model for driving optimum targets. Int. J. Prod. Res. 39(1), 99–120 (2001)
Verma, R., Pullman, M.E.: An analysis of the supplier selection process. Omega, Int. J. Manage. Sci. 26(6), 739–750 (1998)
Weber, C.A., Current, R.J., Benton, W.C.: Vendor selection criteria and Methods. Eur. J. Oper. Res. 50, 2–18 (1991)
Wei, S.Y., Jinlong, Z., Zhicheng, L.I.: A supplier-selecting system using a neural network. In: IEEE International Conference on Intelligent Processing Systems, vol 1, 468–471 (1997)
Yang, J.L., Huan, N.C., Gwo-Hshiung, T., Ruey H.Y.: Vendor selection by integrated fuzzy MCDM techniques with independent and interdependent relationships. Inf. Sci. 178, 4166–4183 (2008)
Zadeh, L.: Fuzzy sets, Information Control, vol 8, 338–353 (1965)
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Jinturkar, A., Deshmukh, S., Sarode, A., Sunapwar, V., Khodke, P. (2014). Fuzzy-AHP Approach to Improve Effectiveness of Supply Chain. In: Kahraman, C., Öztayşi, B. (eds) Supply Chain Management Under Fuzziness. Studies in Fuzziness and Soft Computing, vol 313. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-53939-8_3
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