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

Tsan Ming Choi, S. Ren

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

1 Citation (Scopus)

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.
Original languageEnglish
Title of host publicationInformation Systems for the Fashion and Apparel Industry
PublisherElsevier Inc.
Pages263-271
Number of pages9
ISBN (Electronic)9780081005804
ISBN (Print)9780081005712
DOIs
Publication statusPublished - 8 Apr 2016

Keywords

  • Analytical models
  • Demand forecasting-based inventory systems
  • Fast fashion systems
  • Risk management

ASJC Scopus subject areas

  • Engineering(all)
  • Materials Science(all)

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