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An integrated fuzzy-goal-programming-based framework for selecting suppliers in strategic alliance formation

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  • Famuyiwa, Oluwafemi
  • Monplaisir, Leslie
  • Nepal, Bimal
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    Abstract

    There has been an exponential growth in the number of strategic alliances formed in the last decade between manufacturers and their suppliers. Yet 60-70% of these alliances fail in their first year. One of the reasons for such failure is the incompatibility of members of the alliance. Hence, there is a need for a tool to help decision makers to rate the compatibility of potential partners in a strategic alliance. This paper fulfills this requirement by presenting an integrated method for rating the compatibility of potential members of a strategic alliance. The method utilizes a model based on fuzzy logic/goal programming to analyze the vague, imprecise, and usually subjective information regarding the compatibility of potential suppliers that is available during the early formation of a strategic partnership. A sample case study is presented to demonstrate the application of the framework.

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    Bibliographic Info

    Article provided by Elsevier in its journal International Journal of Production Economics.

    Volume (Year): 113 (2008)
    Issue (Month): 2 (June)
    Pages: 862-875

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    Handle: RePEc:eee:proeco:v:113:y:2008:i:2:p:862-875

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    Web page: http://www.elsevier.com/locate/ijpe

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    References

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    1. Ariño, Africa & Doz, Yves, 2000. "Rescuing troubled alliances... before it's too late," European Management Journal, Elsevier, vol. 18(2), pages 173-182, April.
    2. Chen, Chen-Tung & Lin, Ching-Torng & Huang, Sue-Fn, 2006. "A fuzzy approach for supplier evaluation and selection in supply chain management," International Journal of Production Economics, Elsevier, vol. 102(2), pages 289-301, August.
    3. Bitran, Iain & Bitran, Joseph & Conn, Steffen & Nagel, Arie & Nicholls, Harry, 2002. "SMART: System for the development, management and support of strategic alliances," International Journal of Production Economics, Elsevier, vol. 80(1), pages 3-10, November.
    4. Weber, Charles A. & Current, John R., 1993. "A multiobjective approach to vendor selection," European Journal of Operational Research, Elsevier, vol. 68(2), pages 173-184, July.
    5. Amid, A. & Ghodsypour, S.H. & O'Brien, C., 2006. "Fuzzy multiobjective linear model for supplier selection in a supply chain," International Journal of Production Economics, Elsevier, vol. 104(2), pages 394-407, December.
    6. Bruner, Robert & Spekman, Robert, 1998. "The dark side of alliances:: Lessons from Volvo-Renault," European Management Journal, Elsevier, vol. 16(2), pages 136-150, April.
    7. Nepal, Bimal & Monplaisir, Leslie & Singh, Nanua, 2005. "Integrated fuzzy logic-based model for product modularization during concept development phase," International Journal of Production Economics, Elsevier, vol. 96(2), pages 157-174, May.
    8. Tsang, Eric W. K., 1998. "Motives for strategic alliance: A resource-based perspective," Scandinavian Journal of Management, Elsevier, vol. 14(3), pages 207-221, March.
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    Citations

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    Cited by:
    1. Woo, Hong Seng & Saghiri, Soroosh, 2011. "Order assignment considering buyer, third-party logistics provider, and suppliers," International Journal of Production Economics, Elsevier, vol. 130(2), pages 144-152, April.
    2. Feng, Bo & Fan, Zhi-Ping & Ma, Jian, 2010. "A method for partner selection of codevelopment alliances using individual and collaborative utilities," International Journal of Production Economics, Elsevier, vol. 124(1), pages 159-170, March.
    3. Chia Sun, 2014. "A conceptual framework for R&D strategic alliance assessment for Taiwan’s biotechnology industry," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(1), pages 259-279, January.
    4. Oderanti, Festus Oluseyi & De Wilde, Philippe, 2010. "Dynamics of business games with management of fuzzy rules for decision making," International Journal of Production Economics, Elsevier, vol. 128(1), pages 96-109, November.
    5. Wong, Bo K. & Lai, Vincent S., 2011. "A survey of the application of fuzzy set theory in production and operations management: 1998-2009," International Journal of Production Economics, Elsevier, vol. 129(1), pages 157-168, January.

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