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|a 950461650
|a 1066589533
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|a 9780081005804
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|a 9780081005712
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|z 9780081005712
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|a (OCoLC)946887320
|z (OCoLC)950461650
|z (OCoLC)1066589533
|z (OCoLC)1235826453
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|2 bisacsh
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|a 338.4/76870285
|2 23
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| 245 |
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|a Information systems for the fashion and apparel industry /
|c edited by Tsan-Ming Choi.
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|a Duxford, UK :
|b Woodhead Publishing is an imprint of Elsevier,
|c 2016.
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| 300 |
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|a 1 online resource
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| 336 |
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|a text
|b txt
|2 rdacontent
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| 337 |
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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| 490 |
1 |
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|a Woodhead Publishing series in textiles ;
|v number 179
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| 500 |
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|a Includes index.
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|a Online resource; title from PDF title page (ScienceDirect, viewed April 20, 2016).
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|a Front Cover; Information Systems for the Fashion and Apparel Industry; The Textile Institute and Woodhead Publishing; Related titles; Information Systems for the Fashion and Apparel Industry; Copyright; Contents; List of contributors; Woodhead Publishing Series in Textiles; Preface; 1 -- Introduction: key decision points and information requirements in fast fashion supply chains; 1.1 Introduction; 1.2 Key decision points; 1.3 Information requirements; 1.4 Concluding remarks; References; 2 -- The use of fuzzy logic techniques to improve decision making in apparel supply chains.
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|a 2.1 Introduction and background2.1.1 Fashion mass customization; 2.1.2 Human perception for human-centered design; 2.1.3 Sensory evaluation for acquiring human perception; 2.1.4 Decision making with the uncertainty related to human perception in the fashion design; 2.2 Fuzzy logic techniques; 2.2.1 Fuzzy sets theory; 2.2.2 Fuzzy decision tree; 2.2.3 Fuzzy cognitive map; 2.3 The target market selection in apparel supply chain using fuzzy decision making; 2.3.1 Perception, evaluation, and formalization; 2.3.2 Modeling.
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|a 2.3.3 Computation of the relevancy degrees for the perception of naked body shapes2.3.3.1 Computation of the relevancy degree REL(D, Y); 2.3.3.2 Computation of the relevancy degree REL(ti, D); 2.3.3.3 Computation of the relevancy degree REL(ti, BRY); 2.3.4 Computation of the relevancy degrees for the perception of body shapes with a garment; 2.3.4.1 Computation of the relevancy degree REL(dev, S); 2.3.4.2 Computation of the relevancy degree REL(D, sk); 2.3.4.3 Computation of the relevancy degree REL(ti, BRCA170("ev); 2.3.4.4 Computation of the relevancy degree REL(ti, BRY("ev).
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|a 2.3.5 Comparison of the two relevancy degrees2.3.6 Application and validation; 2.4 Conclusion; References; 3 -- Using radiofrequency identification (RFID) technologies to improve decision-making in apparel supply chains; 3.1 Introduction; 3.2 Literature review; 3.2.1 Descriptive case of RFID applications; 3.2.2 Examination of RFID investments and returns; 3.2.3 Exploration of the motivation and impact of RFID system adoption; 3.2.4 RFID-enabled systems development; 3.3 Case studies; 3.3.1 Zara1; 3.3.2 Marks and Spencer2; 3.3.3 American Apparel3; 3.3.4 Discussion.
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|a 3.4 Conclusions and future research directionsReferences; 4 -- Using big data analytics to improve decision-making in apparel supply chains; 4.1 Introduction; 4.2 Literature review; 4.2.1 A brief insight into big data in business; 4.2.2 Leveraging big data on cloud computing; 4.2.3 Big data-driven fashion supply chains; 4.3 Romanian clothing and fashion industry; 4.3.1 An overview of the actual stage; 4.3.2 Facing the global market: Romanian products and their competitive advantage; 4.4 Community-influenced decision-making: the answer is in the social cloud; 4.4.1 Big data tools and techniques.
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| 504 |
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|a Includes bibliographical references and index.
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| 650 |
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|a Clothing trade
|x Information technology.
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| 650 |
|
7 |
|a BUSINESS & ECONOMICS
|x Industries
|x General.
|2 bisacsh
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| 700 |
1 |
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|a Choi, Tsan-Ming,
|e editor.
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| 776 |
0 |
8 |
|i Print version:
|a Choi, Tsan-Ming Jason.
|t Information Systems for the Fashion and Apparel Industry.
|d : Elsevier Science, �2016
|z 9780081005712
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| 830 |
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0 |
|a Woodhead publishing in textiles ;
|v no. 179.
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| 856 |
4 |
0 |
|u https://sciencedirect.uam.elogim.com/science/book/9780081005712
|z Texto completo
|
