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A Generalized Model of Operations Reversal for Fashion Goods

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  • Nikhil Jain

    ()
    (College of Business Administration, University of Cincinnati, Cincinnati, Ohio 45221)

  • Anand Paul

    ()
    (Decision and Information Sciences, Warrington College of Business, University of Florida, Gainesville, Florida 32611-7150)

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    Abstract

    Operations reversal is a process design principle that involves switching two consecutive stages of the manufacturing process to improve process performance. In this paper we investigate conditions under which operations reversal can be used to reduce the variability---as measured by the variance and standard deviation---of production volumes at the intermediate stage of the manufacturing process. We generalize the operations reversal model of Lee and Tang (1998) to explicitly incorporate two important characteristics of fashion goods markets: heterogeneity among customers and unpredictability of customer preferences. We also present a new approach to modeling the operations reversal problem.

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    File URL: http://dx.doi.org/10.1287/mnsc.47.4.595.9830
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    Bibliographic Info

    Article provided by INFORMS in its journal Management Science.

    Volume (Year): 47 (2001)
    Issue (Month): 4 (April)
    Pages: 595-600

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    Handle: RePEc:inm:ormnsc:v:47:y:2001:i:4:p:595-600

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    Related research

    Keywords: Probability Models; Consumer Choice Models; Process Design; Supply Chain;

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    Cited by:
    1. Mostard, Julien & de Koster, Rene & Teunter, Ruud, 2005. "The distribution-free newsboy problem with resalable returns," International Journal of Production Economics, Elsevier, vol. 97(3), pages 329-342, September.
    2. Caulkins, J.P. & Hartl, R.F. & Kort, P.M. & Feichtinger, G., 2007. "Explaining fashion cycles: Imitators chasing innovators in product space," Open Access publications from Tilburg University urn:nbn:nl:ui:12-194289, Tilburg University.
    3. Tang, Christopher S., 2006. "Perspectives in supply chain risk management," International Journal of Production Economics, Elsevier, vol. 103(2), pages 451-488, October.

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