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Uncertain Supply Chain Management

ISSN 2291-6830 (Online) - ISSN 2291-6822 (Print)
Quarterly Publication
Volume 1 Issue 4 pp. 253-263 , 2013

Ranking important factors influencing organizational strategy in selecting distribution channels with the approach of FMCDM Pages 253-263 Right click to download the paper Download PDF

Authors: Nima Soltanmohammad, Mahmoud Modiri, Kyamars Fathi Hafashjani

Keywords: Distribution channels, FDAHP, FMCDM, FTOPSIS, Fuzzy sets, Marketing strategy

Abstract: Marketing the network of organizations, including manufacturers, wholesalers, and retailers, that distributes goods or services to consumers is one of the most important decisions for marketing managers and producers. In this study, we identify and prioritize the factors, which affect marketing strategy in selecting distribution channels by using fuzzy multiple criteria decision-making (FMCDM). The proposed study uses Fuzzy Delphi Analytic Hierarchy Process to determine the weights of the criteria by decision makers and marketing strategies is ranked by Fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). Finally, the case study within a Kaleh Company (Dairy products) is performed and the results indicate that the “diversifying product” is the most important marketing strategies considered by experts.

How to cite this paper
Soltanmohammad, N., Modiri, M & Hafashjani, K. (2013). Ranking important factors influencing organizational strategy in selecting distribution channels with the approach of FMCDM.Uncertain Supply Chain Management, 1(4), 253-263.

Refrences
Bellman, R.E., & Zadeh, L.A. (1970). Decision making in a fuzzy environment. Management Science, 17(4), 141–164.

Buyukozkan, G., Feyziog lu, O., & Nebol, E. (2007). Selection of the strategic alliance partner in logistics value chain. International Journal of Production Economics, 113(1), 148–158.

Chang, S.L., Wang, R.C., & Wang, S.Y. (2006). Applying fuzzy linguistic quantifier to select supply chain partners at different phases of product life cycle. International Journal of Production Economics, 100, 348–359.

Cheng, J. H., Lee, C. M., & Tang, C. H. (2009). An application of fuzzy Delphi and fuzzy AHP on evaluating wafer supplier in semiconductor industry. WSEAS Transactions on Information Science and Applications, 6(5), 756-767.

Chen, M. K., & Wang, S. C. (2010). The use of a hybrid fuzzy-Delphi-AHP approach to develop global business intelligence for information service firms.Expert Systems with Applications, 37(11), 7394-7407.

Cho, J., & Lee, J. (2013). Development of a new technology product evaluation model for assessing commercialization opportunities using Delphi method and fuzzy AHP approach. Expert Systems with Applications, 40(13), 5314-5330.

Chou, C.C. (2007). A fuzzy MCDM method for solving marine transshipment container port selection problems. Applied Mathematics and Computation, 186, 435–444.

David, F. R. (2012).Strategic Management: A Competitive Advantage Approach, Concepts and Cases, 14th Ed.

Deng, H. (1999). Multi-criteria analysis with fuzzy pair-wise comparison. International Journal of Approximate Reasoning, 21, 215–31.

Hwang CL, & Yoon K. (1981). Multiple attributes decision making methods and applications. Berlin: Springer; 1981.

Hwang, C.L, & Lin, M.L. (1987). Group decision making under multiple criteria. Berlin: Springer.

?ç, Y. T., & Yurdakul, M. (2009). Development of a decision support system for machining center selection. Expert systems with Applications, 36(2), 3505-3513.

Ishikawa, A., Amagasa, M., Shiga, T., Tomizawa, G., Tatsuta, R., & Mieno, H. (1993). The Max-Min Delphi method and fuzzy Delphi method via fuzzy integration. Fuzzy sets and systems, 55(3), 241-253.

Jiang, Y. P., Fan, Z. P., & Ma, J. (2008). A method for group decision making with multi-granularity linguistic assessment information. Information Sciences,178(4), 1098-1109.

Kahraman, C., Ruan, D., & Do?an, I. (2003). Fuzzy group decision-making for facility location selection. Information Sciences, 157, 135-153.

Kaufmann, A., & Gupta, M.M. (1988). Fuzzy mathematical models in engineering and management science. Amsterdam: North-Holland; 1988.

Kuo, M.S., Tzeng, G.H., & Huang, W.C. (2007). Group decision making based on concepts of ideal and anti-ideal points in fuzzy environment. Mathematical and Computer modeling, 45(3/4), 324–339.

Liu, Y.C., & Chen, C.S. (2007). A new approach for application of rock mass classification on rock slope stability assessment, Engineering geology, 89, 129–43.

Liu, Y.C, & Chen C.S. (2007). A new approach to classification base on association rule mining, Journal of Decision Support System, 42, 674–689.

Paksoy, T., Pehlivan, N.Y., & Kahraman, C. (2012). Organizational strategy development in distribution channel management using fuzzy AHP and hierarchical fuzzy TOPSIS. Expert Systems with Applications, 39, 2822–2841.

Saaty, T.L. (1980). The analytic hierarchy process. New York: McGraw-Hill; 1980.

Saaty, T.L., & Vargas, L.G. (1990). The analytic hierarchy process series. Pittsburgh: University of Pittsburgh.

Saaty, T.L. (1996). Decision Making with Dependence and Feedback: The Analytic Network Process. RWS publications, Pittsburg.

Tsaur, S.H., Chang, T.Y., & Yen, C.H. (2002). The evaluation of airline service quality by fuzzy MCDM. Tourism Management, 23, 107–115.

Tseng, M. L. (2011). Using a hybrid MCDM model to evaluate firm environmental knowledge management in uncertainty. Applied Soft Computing,11(1), 1340-1352.

Wang, Y.J. (2008). Applying FMCDM to evaluate financial performance of domestic airlines in Taiwan. Expert Systems with Applications, 34, 1837–1845.

Wang, T. C., & Chen, Y. H. (2007). Applying consistent fuzzy preference relations to partnership selection. Omega, 35(4), 384-388.

Wang, T. C., & Chang, T.-H. (2007). Application of TOPSIS in evaluating initial training aircraft under a fuzzy environment. Expert Systems with Applications, 33(4), 870–880.

Wu, H.Y, Tzeng, G.H, Chen, Y.H. (2009). A fuzzy MCDM approach for evaluating banking performance based on Balanced Score card. Expert Systems with Applications, 36, 10135–10147.

Xu, Z.S., & Chen, J. (2007). An interactive method for fuzzy multiple attribute group decision making. Information Sciences, 177, 248–263.

Yang, T., & Hung, C.-C. (2007). Multiple-attribute decision making methods for plant layout design problem. Robotics and Computer-Integrated Manufacturing, 23(1), 126–137.

Yoon, K., & Hwang, C. L. (1985). Manufacturing plant location analysis by multiple attribute decision making: Part I—single-plant strategy. International Journal of Production Research, 23(2), 345-359.

Zadeh, L.A. (1965). Fuzzy sets. Information and Control, 8(3), 338–353.

Zadeh, L.A. (1999). Some reflections on the anniversary of Fuzzy Sets and Systems, Fuzzy Sets and Systems, 100, 1–3.

Zhu K.J., Jing Y., & Chang D.Y. (1999). A discussion on extent analysis method and applications of Fuzzy-AHP. European Journal of Operational Research, 116, 450-456.
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Journal: Uncertain Supply Chain Management | Year: 2013 | Volume: 1 | Issue: 4 | Views: 2583 | Reviews: 0

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