Information Systems for the Fashion and Apparel Industry - 1st Edition - ISBN: 9780081005712, 9780081005804

Information Systems for the Fashion and Apparel Industry

1st Edition

Editors: Tsan-Ming Choi
eBook ISBN: 9780081005804
Hardcover ISBN: 9780081005712
Imprint: Woodhead Publishing
Published Date: 8th April 2016
Page Count: 306
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Table of Contents

  • The Textile Institute and Woodhead Publishing
  • 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
  • 2. The use of fuzzy logic techniques to improve decision making in apparel supply chains
    • 2.1. Introduction and background
    • 2.2. Fuzzy logic techniques
    • 2.3. The target market selection in apparel supply chain using fuzzy decision making
    • 2.4. Conclusion
  • 3. Using radiofrequency identification (RFID) technologies to improve decision-making in apparel supply chains
    • 3.1. Introduction
    • 3.2. Literature review
    • 3.3. Case studies
    • 3.4. Conclusions and future research directions
  • 4. Using big data analytics to improve decision-making in apparel supply chains
    • 4.1. Introduction
    • 4.2. Literature review
    • 4.3. Romanian clothing and fashion industry
    • 4.4. Community-influenced decision-making: the answer is in the social cloud
    • 4.5. Conclusions
    • Appendix A: The evolution of the Romanian investments during 2008–2012
    • Appendix B: The evolution of Romanian exports and imports
    • Appendix C: The evolution of clothing sector exports during 2008–2012
    • Appendix D: The strategy to promote the Romanian exports
  • 5. Using artificial neural networks to improve decision making in apparel supply chain systems
    • 5.1. Introduction
    • 5.2. Decision process involved in the apparel supply chain
    • 5.3. Applications of ANN in apparel supply chain to improve their decision
    • 5.4. Conclusion and limitations of using ANNs in apparel supply chain systems
  • 6. Smart systems for improved customer choice in fashion retail outlets
    • 6.1. Context overview
    • 6.2. Research parameter
    • 6.3. Model proposition
    • 6.4. Deploying smart systems compilation of customers' choice through modular customization model
    • 6.5. Conclusion
  • 7. Intelligent procurement systems to support fast fashion supply chains in the apparel industry
    • 7.1. Introduction
    • 7.2. Two-period models with reordering during the selling season
    • 7.3. Multiple-order models with all orders placed before the selling season
    • 7.4. Conclusion
  • 8. Intelligent demand forecasting systems for fast fashion
    • 8.1. Introduction
    • 8.2. Fashion and fast fashion sales forecasting
    • 8.3. Sales forecasting methods for fast fashion retailing
    • 8.4. Intelligent system based on sales forecasting and replenishment modules
    • 8.5. Conclusion
  • 9. Fashion design using evolutionary algorithms and fuzzy set theory – a case to realize skirt design customizations
    • 9.1. Introduction
    • 9.2. Style classification and style feature database
    • 9.3. Sketch design using fuzzy numbers and IGA
    • 9.4. Intelligent pattern designs
    • 9.5. Results and discussions
    • 9.6. Conclusions and future research
  • 10. Intelligent systems for managing returns in apparel supply chains
    • 10.1. Introduction
    • 10.2. Literature review
    • 10.3. Critical factors of returns management in apparel supply chains
    • 10.4. Quantity model for managing returns in apparel supply chains
    • 10.5. Intelligent system implementation for managing returns in apparel supply chains
    • 10.6. Conclusions and future direction
  • 11. Vendor-managed inventory systems in the apparel industry
    • 11.1. Introduction
    • 11.2. Vendor-managed inventory research
    • 11.3. Research design
    • 11.4. Case data
    • 11.5. Discussion
    • 11.6. Conclusion and future research
  • 12. Enterprise resource planning systems for use in apparel supply chains
    • 12.1. Introduction
    • 12.2. Enterprise resource planning systems in the apparel industry: review
    • 12.3. Case studies
    • 12.4. Conclusion
  • 13. Intelligent demand forecasting supported risk management systems for fast fashion inventory management
    • 13.1. Introduction and background
    • 13.2. Demand forecasting supported inventory control
    • 13.3. Inventory models with risk considerations
    • 13.4. An intelligent fast fashion demand forecasting supported risk minimization inventory control model
    • 13.5. Concluding remarks and future research
  • Index

Description

Information Systems for the Fashion and Apparel Industry brings together trends and developments in fashion information systems, industrial case-studies, and insights from an international team of authors. The fashion and apparel industry is fast-growing and highly influential. Computerized information systems are essential to support fashion business operations and recent developments in social media, mobile commerce models, radio frequency identification (RFID) technologies, and ERP systems are all driving innovative business measures in the industry.

After an introductory chapter outlining key decision points and information requirements in fast fashion supply chains, Part One focuses on the principles of fashion information systems, with chapters covering how decision making in the apparel supply chains can be improved through the use of fuzzy logic, RFID technologies, evolutionary optimization techniques, and artificial neural networks. Part Two then reviews the range of applications for information systems in the fashion and apparel industry to improve customer choice, aid design, implement intelligent forecasting and procurement systems, and manage inventory and returns.

Key Features

  • Provides systematic and comprehensive coverage of information systems for the fashion and apparel industry
  • Combines recent developments and industrial best-practices in apparel supply chain management in order to meet the needs of the fashion and apparel industry professionals and academics
  • Features input from a team of highly knowledgeable authors with a range of professional and academic experience, overseen by an editor who is a leading expert in the field
  • Reviews the range of applications for information systems in the fashion and apparel industry to improve customer choice, aid design, implement intelligent forecasting and procurement systems, and manage inventory and returns

Readership

Industry professionals, academic researchers and postgraduate students in fashion and apparel, as well as professionals and academics interested in information systems and supply chains


Details

No. of pages:
306
Language:
English
Copyright:
© Woodhead Publishing 2016
Published:
Imprint:
Woodhead Publishing
eBook ISBN:
9780081005804
Hardcover ISBN:
9780081005712

About the Editors

Tsan-Ming Choi Editor

Dr Tsan-Ming Choi is Professor of Fashion Business at the prestigious Institute of Textiles and Clothing, The Hong Kong Polytechnic University, Hong Kong SAR, China. Over the past ten years, he has actively participated in a variety of research projects on supply chain management and applied optimization for fashion business operations, and has acted as a consultant on supply chain management related topics for several companies. He is an editor of several high-impact citation journals and has published extensively in top business, engineering and fashion journals.

Affiliations and Expertise

Institute of Textiles and Clothing, The Hong Kong Polytechnic University, Hong Kong SAR, China