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Author Wong, W. K. (Wai Keung)

Title Optimizing decision making in the apparel supply chain using artificial intelligence (AI) : from production to retail / W.K. Wong, Z.X. Guo and S.Y.S. Leung.

Imprint Cambridge ; Philadelphia : Woodhead Publishing Ltd : Published in association with the Textile Institute, 2013.

Copies

Location Call No. OPAC Message Status
 Axe Elsevier ScienceDirect Ebook  Electronic Book    ---  Available
Description 1 online resource (xvii, 231 pages) : illustrations.
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Series Woodhead publishing series in textiles
Woodhead publishing in textiles.
Bibliography Includes bibliographical references and index.
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.
Summary 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.
Subject Textile industry -- Automation.
Artificial intelligence -- Industrial applications.
Business logistics -- Automation.
Textiles et tissus -- Industrie et commerce -- Automatisation.
Intelligence artificielle -- Applications industrielles.
Logistique (Organisation) -- Automatisation.
TECHNOLOGY & ENGINEERING -- Technical & Manufacturing Industries & Trades.
TECHNOLOGY & ENGINEERING -- Textiles & Polymers.
Artificial intelligence -- Industrial applications
Business logistics -- Automation
Textile industry -- Automation
Added Author Guo, Zhaoxia.
Leung, Yung-sun.
Other Form: Print version: Wong, Wai-keung. Optimizing decision making in the apparel supply chain using artificial intelligence (AI) : from production to retail. Cambridge : Woodhead Publishing Ltd., 2013 xviii, 232 pages ; 24 cm. Woodhead Publishing series in textiles ; number 143 2042-0803 9780857097798 (DLC) 2012952114 (OCoLC)808413470
ISBN 9780857097842 (electronic bk.)
0857097849 (electronic bk.)
9780857097798
0857097792
Standard No. DEBBG BV042315074
DEBSZ 399693971
DEBSZ 43157703X
GBVCP 80000857X
AU@ 000054754434
CHVBK 51928559X
CHNEW 001011185
AU@ 000068483003

 
    
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