Computer Technology for Textiles and Apparel, Hu Jinlian, Hu J.
Автор: Yu, Winnie Название: Advances in Women`s Intimate Apparel Technology ISBN: 1782423699 ISBN-13(EAN): 9781782423690 Издательство: Elsevier Science Рейтинг: Цена: 21054.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Advances in Women's Intimate Apparel Technology discusses the design and manufacture of intimate apparel and how the industry is increasingly embracing novel materials, new technologies, and innovations in sizing and fit.
The book reviews the ways in which new materials and methods are improving the range, function, and quality of intimate apparel, with particular focus on brassiere design. Part One introduces the advanced materials used for intimate apparel, including novel fabrics and dyes and finishes, along with materials for wiring and embellishments. Part Two discusses the role of seamless technology in intimate apparel production, covering lamination, moulding, and seamless knitting. Finally, Part Three reviews advances in design, fit, and performance.
Описание: 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.
Автор: Choi, Tsan-Ming Jason Название: Information Systems for the Fashion and Apparel Industry ISBN: 0081005717 ISBN-13(EAN): 9780081005712 Издательство: Elsevier Science Рейтинг: Цена: 27454.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
"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. Provides systematic and comprehensive coverage of information systems for the fashion and apparel industryCombines 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 academicsFeatures 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 fieldReviews 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
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