Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/76614
Title: Using artificial neural networks to improve decision making in apparel supply chain systems
Authors: Hui, PCL 
Choi, TM 
Keywords: ANN
Artificial neural networks
Decision making
Intelligent systems
Issue Date: 2016
Publisher: Woodhead Publishing (an imprint of Elsevier)
Source: In TM Choi (Ed.), Information systems for the fashion and apparel industry, Chapter 5, p. 97-107. Duxford, UK: Woodhead Publishing (an imprint of Elsevier), 2016 How to cite?
Abstract: With the advance of information technology, artificial neural networks (ANNs) are now a ready-to-use technology for all kinds of industries. In this paper, we examine how ANNs can be used to improve decision making in apparel supply chain systems. We focus on four major application areas, namely the data mining of customer's buying preferences, sales forecasting, inventory level prediction, and optimization of marker planning in apparel production. Limitations of ANNs and the future research directions on using ANNs for apparel supply chain management are discussed.
URI: http://hdl.handle.net/10397/76614
ISBN: 9780081005804
9780081005712
DOI: 10.1016/B978-0-08-100571-2.00005-1
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