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

Tsan Ming Choi; S. Ren

doi:10.1016/B978-0-08-100571-2.00013-0

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

Tsan Ming Choi, S. Ren

The Hong Kong Polytechnic University

Research output: Chapter in book / Conference proceeding › Chapter in an edited book (as author) › Academic research › peer-review

2 Citations (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 language	English
Title of host publication	Information Systems for the Fashion and Apparel Industry
Publisher	Elsevier Inc.
Pages	263-271
Number of pages	9
ISBN (Electronic)	9780081005804
ISBN (Print)	9780081005712
DOIs	https://doi.org/10.1016/B978-0-08-100571-2.00013-0
Publication status	Published - 8 Apr 2016

Keywords

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

ASJC Scopus subject areas

General Engineering
General Materials Science

More information

10.1016/B978-0-08-100571-2.00013-0

Cite this

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KW - Risk management

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BT - Information Systems for the Fashion and Apparel Industry

PB - Elsevier Inc.

ER -

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

Abstract

Keywords

ASJC Scopus subject areas

More information

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