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Optimizing Decision Making in the Apparel Supply Chain Using Artificial Intelligence (AI): From Production to Retail (Woodhead Publishing Series in Textiles) - Hardcover
Synopsis
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 chain
- Discusses the fundamentals of artificial intelligence techniques for apparel management techniques
- Considers the use of neural networks in selecting the location of apparel manufacturing plants
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About the Author
W. K. Wong is full professor at The Hong Kong Polytechnic University, Hong Kong and is currently with the endowed professorship title as Cheng Yik Hung Professor in Fashion. His areas of research range from computer vision to artificial intelligence with applications in the textile and fashion industries. He has published over hundred research articles in high-impact artificial intelligence related journals and serves as editorial board member of several journals. He also provides consultancy services to fashion and textile companies in the industry.
S. Y. S. Leung is based at the Institute of Textiles and Clothing, The Hong Kong Polytechnic University, China.
"About this title" may belong to another edition of this title.
- PublisherWoodhead Publishing
- Publication date2013
- ISBN 10 0857097792
- ISBN 13 9780857097798
- BindingHardcover
- LanguageEnglish
- Edition number1
- Number of pages256
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Optimizing Decision Making In The Apparel Supply Chain Using Artificial Intelligence (Ai) (Hb 2013)
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Optimizing Decision Making In The Apparel Supply Chain Using Artificial Intelligence (Ai) (Hb 2013)
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Optimizing Decision Making in the Apparel Supply Chain Using Artificial Intelligence (AI): from Production to Retail (Woodhead Publishing Series in Textiles)
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Woodhead Publishing Ltd 2013-01-24, 2013
ISBN 10: 0857097792
ISBN 13: 9780857097798
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Optimizing Decision Making in the Apparel Supply Chain Using Artificial Intelligence (Ai): From Production to Fashion Retail
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Optimizing Decision Making in the Apparel Supply Chain Using Artificial Intelligence (AI)
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Elsevier Science & Technology, Woodhead Publishing, 2013
ISBN 10: 0857097792
ISBN 13: 9780857097798
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. Englisch. Seller Inventory # 9780857097798
Quantity: 2 available
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Optimizing Decision Making in the Apparel Supply Chain Using Artificial Intelligence (AI) : From Production to Retail
Published by
Elsevier Science & Technology, Woodhead Publishing, 2013
ISBN 10: 0857097792
ISBN 13: 9780857097798
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Hardcover
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Seller Inventory # 9780857097798
Quantity: 2 available
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Optimizing Decision Making in the Apparel Supply Chain Using Artificial Intelligence (AI): From Production to Retail (Woodhead Publishing Series in Textiles)
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