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E-book
Author Wong, W. K. (Wai Keung)

Title Optimizing decision making in the apparel supply chain using artificial intelligence (AI) : from production to retail / W K Wong, Z X Guo, S Y S Leung
Published Cambridge : Woodhead Publishing Ltd, 2013
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Description 1 online resource (256 pages)
Series Woodhead Publishing series in textiles, 2042-0803 ; 143
Woodhead publishing in textiles ; 143. 2042-0803
Contents Understanding key decision points in the apparel supply chain-- Fundamentals of artificial intelligence techniques for apparel management applications-- Selecting the location of apparel manufacturing plants using neural networks-- Optimizing apparel production order planning scheduling using genetic algorithms-- Optimizing cut order planning in apparel production using evolutionary strategies-- Optimizing marker planning in apparel production using evolutionary strategies and neural networks-- Optimizing fabric spreading and cutting schedules in apparel production using genetic algorithms and fuzzy set theory-- Optimizing apparel production systems using genetic algorithms-- Intelligent sales forecasting for fashion retailing using harmony search algorithms and extreme learning machines-- Intelligent product cross-selling system in fashion retailing using radio frequency identification (RFID) technology, fuzzy logic and rule-based expert system
Summary Practitioners in apparel manufacturing and retailing enterprises in the fashion industry, ranging from senior to front line management, constantly face complex and critical decisions. There has been growing interest in the use of artificial intelligence (AI) techniques to enhance this process, and a number of techniques have already been successfully applied to apparel production and retailing. Optimizing decision making in the apparel supply chain using artificial intelligence (AI): From production to retail provides detailed coverage of these techniques, outlining how they are used to assist decision makers in tackling key supply chain problems. Understanding key decision points in the apparel supply chain and the fundamentals of artificial intelligence techniques for apparel management applications are the focus of the opening chapters. Optimizing decision making in clothing management using artificial intelligence (AI) then proceeds to discuss the use of neural networks in selecting the location of apparel manufacturing plants, optimization of apparel production order planning scheduling using genetic algorithms, and the employment of evolutionary strategies and neural networks to optimize cut order and marker planning. The use of genetic algorithms and fuzzy set theory in the optimization of fabric spreading and cutting schedules is discussed, followed by the overall optimization of apparel production systems using genetic algorithms. Intelligent sales forecasting for fashion retailing using harmony search algorithms and extreme learning machines is then considered, before the book concludes with a review of intelligent product cross-selling systems in fashion retailing using radio frequency identification (RFID) technology, fuzzy logic and rule-based expert systems. Drawing on the in-depth knowledge of its expert authors, Optimizing decision making in the apparel supply chain using artificial intelligence (AI): From production to retail is a practical guide for all those involved in the research, design and management of apparel production and retail chains. It also provides a clear overview of the topic for academics interested in the development of this technology
Notes Also available in print
Mode of access: World Wide Web
W.K. Wong and S.Y.S. Leung are based at the Institute of Textiles and Clothing, The Hong Kong Polytechnic University, China. Z.X. Guo is based at the Business School, at Sichuan University, China
Subject Artificial intelligence -- Industrial applications.
Business logistics -- Automation.
Textile industry -- Automation.
Form Electronic book
Author Guo, Z. X
Leung, S. Y. S
ISBN 0857097792
0857097849
9780857097798
9780857097842