Quick response fashion supply chains in the big data era

Tsan Ming Choi

Research output: Chapter in book / Conference proceedingChapter in an edited book (as author)Academic researchpeer-review

6 Citations (Scopus)


The quick response strategy has been widely adopted in the fashion industry. With a shortened lead time, quick response allows fashion supply chain members to conduct forecast information updating which helps to reduce demand uncertainty. In the big data era, forecast information updating is even more effective as more data points can be collected easily to improve forecasting. In this paper, after reviewing the related literature, we explore how the quick response strategy with n observations can improve the whole fashion supply chain’s performance. We study how the number of observations affects the expected values of quick response for the fashion supply chain, the fashion retailer, and the fashion manufacturer. Then, we analytically how the robust win–win coordination can be achieved in the quick response fashion supply chain using the commonly seen wholesale pricing markdown contract. Insights are generated.
Original languageEnglish
Title of host publicationInternational Series in Operations Research and Management Science
Number of pages15
Publication statusPublished - 1 Jan 2017

Publication series

NameInternational Series in Operations Research and Management Science
ISSN (Print)0884-8289


  • Bayesian information updating
  • Quick response
  • Supply chain coordination
  • Supply chain optimization
  • Use of information

ASJC Scopus subject areas

  • Software
  • Computer Science Applications
  • Strategy and Management
  • Management Science and Operations Research
  • Applied Mathematics

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