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  4. Intelligent demand forecasting supported risk management systems for fast fashion inventory management
 
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Intelligent demand forecasting supported risk management systems for fast fashion inventory management

Journal
Information Systems for the Fashion and Apparel Industry
Pages
263-271
ISBN
9780081005804; 9780081005712
Date Issued
2016
Author(s)
TSAN MING CHOI  
Ren S.
DOI
10.1016/B978-0-08-100571-2.00013-0
URI
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84979950797&doi=10.1016%2fB978-0-08-100571-2.00013-0&partnerID=40&md5=d5a0bcad7ce51633f25af7facf5e1f60
https://scholars.lib.ntu.edu.tw/handle/123456789/612287
Abstract
Fast fashion is a well-established and prominent business model in the fashion industry. Featuring products with a very short life cycle is the common characteristic of any fast fashion operations. With this characteristic, fast fashion companies have to face very high demand uncertainty. As a result, fast fashion companies have to carefully forecast the product demand and incorporate risk measures into their inventory planning model. In this chapter, we first examine these related issues. Then, we propose a novel fast fashion demand forecasting-based risk minimization inventory control model. Finally, we discuss future research directions. ? 2016 Elsevier Ltd All rights reserved.
Subjects
Analytical models; Demand forecasting-based inventory systems; Fast fashion systems; Risk management
Other Subjects
Analytical models; Inventory control; Life cycle; Risk assessment; Risk management; Demand forecasting; Fashion companies; Future research directions; Inventory management; Inventory planning; Inventory systems; Risk management systems; Risk minimization; Forecasting
Publisher
Elsevier Inc.
Type
book part

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