Optimizing Decision Making in the Apparel Supply Chain Using Artificial Intelligence (AI): from Production to Retail

ISBN: 0857097792

Category: Technical

Tag: Science/Engineering


Posted on 2014-05-07. By anonymous.

Description


Optimizing Decision Making in the Apparel Supply Chain Using Artificial Intelligence (AI): from Production to Retail By W. K. Wong, Z. Xiao Guo, S. Y. S. Leung
2013 | 256 Pages | ISBN: 0857097792 | PDF | 8 MB



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.


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