rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Optimizing decision making in the apparel supply chain using artificial intelligence (AI)
    sub title: from production to retail
  name:
    name part: Wong, W. K. (Wai Keung)
    role:
      role term: creator
  name:
    name part: Guo, Zhaoxia.
  name:
    name part: Leung, Yung-sun.
  name:
    name part: ScienceDirect (Online service)
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: enk
    place:
      place term: Cambridge
    place:
      place term: Philadelphia
    publisher: Woodhead Publishing Ltd
    publisher: Published in association with the Textile Institute
    date issued: 2013
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (xvii, 231 pages) : illustrations.
  abstract: 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 chainDiscusses the fundamentals of artificial intelligence techniques for apparel management techniquesConsiders the use of neural networks in selecting the location of apparel manufacturing plants.
  table of contents: 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.
  note: W.K. Wong, Z.X. Guo and S.Y.S. Leung.
  note: Includes bibliographical references and index.
  subject:
    topic: Textile industry
    topic: Automation
  subject:
    topic: Artificial intelligence
    topic: Industrial applications
  subject:
    topic: Business logistics
    topic: Automation
  subject:
    topic: Textiles et tissus
    topic: Industrie et commerce
    topic: Automatisation
  subject:
    topic: Intelligence artificielle
    topic: Applications industrielles
  subject:
    topic: Logistique (Organisation)
    topic: Automatisation
  subject:
    topic: TECHNOLOGY & ENGINEERING
    topic: Technical & Manufacturing Industries & Trades
  subject:
    topic: TECHNOLOGY & ENGINEERING
    topic: Textiles & Polymers
  subject:
    topic: Artificial intelligence
    topic: Industrial applications
  subject:
    topic: Business logistics
    topic: Automation
  subject:
    topic: Textile industry
    topic: Automation
  classification: TS1449 .W575 2013
  classification: 677.0028563
  related item:
    title info:
      title: Optimizing decision making in the apparel supply chain using artificial intelligence (AI) : from production to retail
    name:
      name part: Wong, Wai-keung.
    origin info:
      publisher: Cambridge : Woodhead Publishing Ltd., 2013
    physical description:
      extent: xviii, 232 pages ; 24 cm.
    identifier: 2042-0803
    identifier: (DLC) 2012952114
    identifier: (OCoLC)808413470
  related item:
    title info:
      title: Woodhead publishing in textiles
  identifier: 9780857097842
  identifier: 0857097849
  identifier: 9780857097798
  identifier: 0857097792
  identifier: 2012952114
  identifier: CL0500000428 Safari Books Online
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: COO
    record creation date: 121018
    record change date: 20260326194736.3
    record identifier: in00005752453
    language of cataloging:
      language term: eng