Optimizing decision making in the apparel supply chain using artificial intelligence (AI): from production to retail
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Bibliographic Details
Main Author: Wong, Wai-keung (Author)
Format: Electronic eBook
Language:English
Published: Cambridge Woodhead Publishing Ltd 2013
Series:Woodhead publishing in textiles
Subjects:
Online Access:Volltext
Item Description:Includes bibliographical references and index
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 AI 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. Key decision points in the apparel supply chain and the fundamentals of artificial intelligence techniques are the focus of the opening chapters, before the book proceeds to discuss the use of neural networks, genetic algorithms, fuzzy set theory and extreme learning machines for intelligent sales forecasting and intelligent product cross-selling systems. Helps the reader gain an understanding of the key decision points in the apparel supply chainDiscusses the fundamentals of artificial intelligence techniques for apparel management techniquesConsiders the use of neural networks in selecting the location of apparel manufacturing plants
Physical Description:1 Online-Ressource (xvii, 231 pages)
ISBN:9780857097842
0857097849
9780857097798
0857097792

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