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Showing 1 - 3 of 3 matches in All Departments
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.
Applications of Computer Vision in Fashion and Textiles provides a systematic and comprehensive discussion of three key areas that are taking advantage of developments in computer vision technology, namely textile defect detection and quality control, fashion recognition and 3D modeling, and 2D and 3D human body modeling for improving clothing fit. It introduces the fundamentals of computer vision techniques for fashion and textile applications, also reviewing computer vision techniques for textile quality control, including chapters on wavelet transforms, Gibor filters, Fourier transforms, and neural network techniques. Final sections cover recognition, modeling, retrieval technologies and advanced human shape modeling techniques. The book is essential reading for scientists and researchers working in the field of fashion production, quality assurance, product development, textiles, fashion supply chain managers, R&D professionals and managers in the textile industry.
"Fashion Supply Chain Management Using Radio Frequency Identification (RFID) Technologies" looks at the application of RFID technologies in such areas as order allocation, garment manufacturing, product tracking, distribution and retail. As supply chains in the textiles and fashion industry become ever more complex and global, and as the shift to mass customization puts more pressure on a rapid and flexible response to customer needs, monitoring and improving supply chain efficiency in the industry becomes crucial. Radio frequency identification (RFID) technologies offer a unique opportunity to achieve these goals. This book reviews the role of RFID technologies in the textiles and fashion supply chain to improve distribution, process management and product tracking, garment manufacturing, and assembly line operations. It also explores how RFID technologies can improve order allocation in the supply chain, and how these technologies can also be used for intelligent apparel product cross-selling. Its chapters also discuss measuring the impact of RFID technologies in improving the efficiency of the textile supply chain, and modeling the effectiveness of RFID technologies in improving sales performance in fashion retail outlets. "Fashion Supply Chain Management Using Radio Frequency
Identification (RFID) Technologies" is a comprehensive resource for
academic researchers, industry managers, and professionals within
the fashion industry.
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