Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/74313
Title: Quick response fashion supply chains in the big data era
Authors: Choi, TM 
Keywords: Bayesian information updating
Quick response
Supply chain coordination
Supply chain optimization
Use of information
Issue Date: 2017
Publisher: Springer
Source: International series in operations research and management science, 2017, v. 252, p. 253-267 How to cite?
Journal: International series in operations research and management science 
Abstract: 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.
URI: http://hdl.handle.net/10397/74313
ISSN: 0884-8289
DOI: 10.1007/978-3-319-53518-0_14
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