https://scholars.lib.ntu.edu.tw/handle/123456789/612262
標題: | Quick response fashion supply chains in the big data era | 作者: | TSAN MING CHOI | 關鍵字: | Bayesian information updating; Quick response; Supply chain coordination; Supply chain optimization; Use of information | 公開日期: | 2017 | 出版社: | Springer New York LLC | 卷: | 252 | 起(迄)頁: | 253-267 | 來源出版物: | International Series in Operations Research and Management Science | 摘要: | 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? 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?in coordination can be achieved in the quick response fashion supply chain using the commonly seen wholesale pricing markdown contract. Insights are generated. ? 2017, Springer International Publishing AG. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85019121944&doi=10.1007%2f978-3-319-53518-0_14&partnerID=40&md5=2576e4fee524dcefeec1e2447ebf587d https://scholars.lib.ntu.edu.tw/handle/123456789/612262 |
DOI: | 10.1007/978-3-319-53518-0_14 |
顯示於: | 工商管理學系 |
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