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A Generalized Model of Operations Reversal for Fashion Goods


  • 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)


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.

Suggested Citation

  • Nikhil Jain & Anand Paul, 2001. "A Generalized Model of Operations Reversal for Fashion Goods," Management Science, INFORMS, vol. 47(4), pages 595-600, April.
  • Handle: RePEc:inm:ormnsc:v:47:y:2001:i:4:p:595-600

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    References listed on IDEAS

    1. Hau L. Lee & Christopher S. Tang, 1998. "Variability Reduction Through Operations Reversal," Management Science, INFORMS, vol. 44(2), pages 162-172, February.
    2. Roman Kapuscinski & Sridhar Tayur, 1999. "Variance vs. Standard Deviation: Variability Reduction Through Operations Reversal," Management Science, INFORMS, vol. 45(5), pages 765-767, May.
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    Cited by:

    1. Cheung, Ki Ling & Song, Jing-Sheng & Zhang, Yue, 2017. "Cost reduction through operations reversal," European Journal of Operational Research, Elsevier, vol. 259(1), pages 100-112.
    2. Caulkins, Jonathan P. & Hartl, Richard F. & Kort, Peter M. & Feichtinger, Gustav, 2007. "Explaining fashion cycles: Imitators chasing innovators in product space," Journal of Economic Dynamics and Control, Elsevier, vol. 31(5), pages 1535-1556, May.
    3. 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.
    4. 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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