Optimizing Decision Making in the Apparel Supply Chain Using Artificial Intelligence (AI)

From Production to Retail

Business & Finance, Management & Leadership, Operations Research, Industries & Professions, Industries
Cover of the book Optimizing Decision Making in the Apparel Supply Chain Using Artificial Intelligence (AI) by Z. X. Guo, S Y S Leung, Calvin Wong, Elsevier Science
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Author: Z. X. Guo, S Y S Leung, Calvin Wong ISBN: 9780857097842
Publisher: Elsevier Science Publication: January 24, 2013
Imprint: Woodhead Publishing Language: English
Author: Z. X. Guo, S Y S Leung, Calvin Wong
ISBN: 9780857097842
Publisher: Elsevier Science
Publication: January 24, 2013
Imprint: Woodhead Publishing
Language: English

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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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.

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