Information Systems for the Fashion and Apparel Industry

<p>Preface</p> <p>1. Introduction: key decision points and information requirements in fast fashion supply chains </p> <p>Part I - Principles of fashion information systems</p> <p>2. The use of fuzzy logic techniques to improve decision-making in apparel supply chains </p> <p>3. Using radio frequency identification (RFID) technologies to improve decision-making in apparel supply chains </p> <p>4. The use of evolutionary optimization techniques to improve decision-making in apparel supply chains</p> <p>5. Using artificial neural networks to improve decision making in apparel supply chain systems</p> <p>Part II - Applications of information systems in the fashion and apparel industry</p> <p>6. Smart systems for improved customer choice in fashion retail outlets </p> <p>7. Intelligent procurement systems to support fast fashion supply chains in the apparel industry</p> <p>8. Intelligent demand forecasting systems for fast fashion </p> <p>9. Fashion design using evolutionary algorithms and fuzzy set theory – a case to realize skirt design customizations</p> <p>10. Intelligent systems for managing returns in apparel supply chains </p> <p>11. Vendor-managed inventory (VMI) systems in the apparel industry </p> <p>12. Enterprise resource planning (ERP) systems for use in apparel supply chains </p> <p>13. Intelligent demand forecasting supported risk management systems for fast fashion inventory management</p>