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A fuzzy QFD approach to achieve agility

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  • Bottani, Eleonora
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    Abstract

    In modern business environments, agility is advocated as the fundamental characteristics for competitiveness. Little research, however, exists which provides integrated methodologies suitable to be practically adopted to enhance agility of companies. This paper presents an original approach, which, by linking competitive bases, agile attributes and agile enablers, aims at identifying the most appropriate enablers to be implemented by companies starting from competitive characteristics of the related market. The approach is based on the quality function deployment (QFD) methodology, and, in particular, on the house of quality (HOQ), which has been successfully adopted in the new product development field. The whole scaffold exploits fuzzy logic, to translate linguistics judgements required for relationships and correlations matrixes into numerical values. An illustrative example, grounded on data available in literature, is proposed and discussed to show the application of the tool developed.

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    Bibliographic Info

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

    Volume (Year): 119 (2009)
    Issue (Month): 2 (June)
    Pages: 380-391

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    Handle: RePEc:eee:proeco:v:119:y:2009:i:2:p:380-391

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

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    Keywords: Agility Supply chain management Quality function deployment House of quality Fuzzy logic;

    References

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    1. Gunasekaran, A., 1999. "Agile manufacturing: A framework for research and development," International Journal of Production Economics, Elsevier, vol. 62(1-2), pages 87-105, May.
    2. Bottani, Eleonora & Rizzi, Antonio, 2006. "Strategic management of logistics service: A fuzzy QFD approach," International Journal of Production Economics, Elsevier, vol. 103(2), pages 585-599, October.
    3. Mason-Jones, Rachel & Towill, Denis R., 1999. "Total cycle time compression and the agile supply chain," International Journal of Production Economics, Elsevier, vol. 62(1-2), pages 61-73, May.
    4. John S. Earle & Ugo Pagano & Maria Lesi, 2002. "Information Technology, Organizational Form, and Transition to the Market," Upjohn Working Papers and Journal Articles 02-82, W.E. Upjohn Institute for Employment Research.
    5. Vonderembse, Mark A. & Uppal, Mohit & Huang, Samuel H. & Dismukes, John P., 2006. "Designing supply chains: Towards theory development," International Journal of Production Economics, Elsevier, vol. 100(2), pages 223-238, April.
    6. Ben Naylor, J. & Naim, Mohamed M & Berry, Danny, 1999. "Leagility: Integrating the lean and agile manufacturing paradigms in the total supply chain," International Journal of Production Economics, Elsevier, vol. 62(1-2), pages 107-118, May.
    7. Prince, J. & Kay, J. M., 2003. "Combining lean and agile characteristics: Creation of virtual groups by enhanced production flow analysis," International Journal of Production Economics, Elsevier, vol. 85(3), pages 305-318, September.
    8. Yusuf, Y. Y. & Sarhadi, M. & Gunasekaran, A., 1999. "Agile manufacturing:: The drivers, concepts and attributes," International Journal of Production Economics, Elsevier, vol. 62(1-2), pages 33-43, May.
    9. Lin, Ching-Torng & Chiu, Hero & Chu, Po-Young, 2006. "Agility index in the supply chain," International Journal of Production Economics, Elsevier, vol. 100(2), pages 285-299, April.
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    Cited by:
    1. 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.
    2. Bottani, Eleonora, 2010. "Profile and enablers of agile companies: An empirical investigation," International Journal of Production Economics, Elsevier, vol. 125(2), pages 251-261, June.
    3. Azadegan, Arash & Porobic, Lejla & Ghazinoory, Sepehr & Samouei, Parvaneh & Saman Kheirkhah, Amir, 2011. "Fuzzy logic in manufacturing: A review of literature and a specialized application," International Journal of Production Economics, Elsevier, vol. 132(2), pages 258-270, August.

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