A Generalized Model of Operations Reversal for Fashion Goods
Nikhil Jain () and
Anand Paul ()
Additional contact information
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
Management Science, 2001, vol. 47, issue 4, 595-600
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.
Keywords: Probability Models; Consumer Choice Models; Process Design; Supply Chain (search for similar items in EconPapers)
Date: 2001
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)
Downloads: (external link)
http://dx.doi.org/10.1287/mnsc.47.4.595.9830 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:inm:ormnsc:v:47:y:2001:i:4:p:595-600
Access Statistics for this article
More articles in Management Science from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().