Optimizing Decision Making in the Apparel Supply Chain Using Artificial Intelligence (AI): From Production to Retail (Woodhead Publishing Series in Textiles, Band 143) - Hardcover

Wong, Calvin; Guo, Z. X.; Leung, S Y S

Hardcover

ISBN 10: 0857097792 ISBN 13: 9780857097798

Verlag: Woodhead Publishing, 2013

Inhaltsangabe

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.

Über diesen Titel

Über die Autorinnen und Autoren

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.

Details zur Ausgabe

• Verlag: Woodhead Publishing
• Erscheinungsdatum: 2013
• Sprache: Englisch
• ISBN 10: 0857097792
• ISBN 13: 9780857097798
• Einband: Gebundene Ausgabe
• Anzahl der Seiten: 256
• Kontakt zum Hersteller: Elsevier Health Science; tradeorders@elsevier.com; ; 125 London Wall, Barbican; London; EC2Y 5AS; Vereinigtes Königreich
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