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

by Wai-Keung Wong, Zhaoxia Guo, Yung-Sun (Sunney) Leung

Recently, artificial intelligence (AI)techniques have received increasing attention from both practitioners and researchers in the apparel industry, and have been utilized to handle a variety of decision-making processes in apparel supply chain operations. These operations have successfully applied a number of AI techniques, such as neural networks, genetic algorithms, fuzzy logic and evolutionary strategies. The ten chapters of this book provide a detailed coverage of the fundamentals and applications of various artificial intelligence techniques to assist decision makers in tackling key problems in the apparel supply chain. The first two chapters discuss a range of key problems faced by apparel enterprises in apparel supply chain operations and introduce the basics of the main AI techniques which have been used in solving decision-making problems. The remaining eight chapters show how key problems in the apparel supply chain can be solved and solutions optimized by use of AI techniques.

256 pages, Hardcover

First published January 1, 2013