Optimizing decision making in the apparel supply chain using artificial intelligence (AI) from production to retail

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...

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Bibliographic Details
Main Author: Wong, W. K.
Other Authors: Guo, Zhaoxia, Leung, Yung-sun
Format: eBook
Published: Cambridge Woodhead Publishing Ltd 2013
Series:Woodhead publishing series in textiles
Online Access:
Collection: O'Reilly - Collection details see MPG.ReNa
Table of Contents:
  • Includes bibliographical references and index
  • Understanding key decision points in the apparel supply chain
  • Fundamentals of artificial intelligence techniques for apparel management applications
  • Selecting the location of apparel manufacturing plants using neural networks
  • Optimizing apparel production order planning scheduling using genetic algorithms
  • Optimizing cut order planning in apparel production using evolutionary strategies
  • Optimizing marker planning in apparel production using evolutionary strategies and neural networks
  • Optimizing fabric spreading and cutting schedules in apparel production using genetic algorithms and fuzzy set theory
  • Optimizing apparel production systems using genetic algorithms
  • Intelligent sales forecasting for fashion retailing using harmony search algorithms and extreme learning machines
  • Intelligent product cross-selling system in fashion retailing using radio frequency identification (RFID) technology, fuzzy logic and rule-based expert system