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A Generalized Model of Operations Reversal for Fashion Goods

Author

Listed:
  • 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)

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.

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
    DOI: 10.1287/mnsc.47.4.595.9830
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    References listed on IDEAS

    as
    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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    Citations

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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. Tang, Christopher S., 2006. "Perspectives in supply chain risk management," International Journal of Production Economics, Elsevier, vol. 103(2), pages 451-488, October.
    4. Mostard, J. & Teunter, R.H. & de Koster, M.B.M., 2003. "The distribution-free newsboy problem with resalable returns," ERIM Report Series Research in Management ERS-2003-068-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    5. Jim (Junmin) Shi & Xiaohang Yue & Yao Zhao, 2014. "Operations sequencing for a multi‐stage production inventory system," Naval Research Logistics (NRL), John Wiley & Sons, vol. 61(2), pages 144-154, March.
    6. 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.

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