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...

Full description

Bibliographic Details
Main Author: Wong, W. K.
Other Authors: Guo, Zhaoxia, Leung, Yung-sun
Format: eBook
Language:English
Published: Cambridge Woodhead Publishing Ltd 2013
Series:Woodhead publishing series in textiles
Subjects:
Online Access:
Collection: O'Reilly - Collection details see MPG.ReNa
LEADER 04167nmm a2200517 u 4500
001 EB001937736
003 EBX01000000000000001100638
005 00000000000000.0
007 cr|||||||||||||||||||||
008 210123 ||| eng
020 |a 9780857097842 
050 4 |a TS1449 
100 1 |a Wong, W. K. 
245 0 0 |a Optimizing decision making in the apparel supply chain using artificial intelligence (AI)  |b from production to retail  |c W.K. Wong, Z.X. Guo and S.Y.S. Leung 
260 |a Cambridge  |b Woodhead Publishing Ltd  |c 2013 
300 |a xvii, 231 pages  |b illustrations 
505 0 |a Includes bibliographical references and index 
505 0 |a 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 
653 |a Textile industry / Automation / fast 
653 |a TECHNOLOGY & ENGINEERING / Textiles & Polymers / bisacsh 
653 |a Textiles et tissus / Industrie et commerce / Automatisation 
653 |a Business logistics / Automation / fast 
653 |a Logistique (Organisation) / Automatisation 
653 |a Artificial intelligence / Industrial applications 
653 |a Artificial intelligence / Industrial applications / fast 
653 |a Business logistics / Automation 
653 |a Intelligence artificielle / Applications industrielles 
653 |a Textile industry / Automation 
653 |a TECHNOLOGY & ENGINEERING / Technical & Manufacturing Industries & Trades / bisacsh 
700 1 |a Guo, Zhaoxia 
700 1 |a Leung, Yung-sun 
041 0 7 |a eng  |2 ISO 639-2 
989 |b OREILLY  |a O'Reilly 
490 0 |a Woodhead publishing series in textiles 
776 |z 9780857097798 
776 |z 0857097849 
776 |z 0857097792 
776 |z 9780857097842 
856 4 0 |u https://learning.oreilly.com/library/view/~/9780857097798/?ar  |x Verlag  |3 Volltext 
082 0 |a 658 
082 0 |a 600 
082 0 |a 620 
082 0 |a 381 
082 0 |a 330 
082 0 |a 677.0028563 
520 |a 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