Optimizing Decision Making in the Apparel Supply Chain Using Artificial Intelligence (AI): From Production to Retail (Woodhead Publishing Series in Textiles)

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. Helps the reader gain an understanding of the key decision points in the apparel supply chain Discusses the fundamentals of artificial intelligence techniques for apparel management techniques Considers the use of neural networks in selecting the location of apparel manufacturing plants Practitioners in apparel manufacturing and retailing enterprises in the fashion industry, ranging from senior to front line management, constantly face complex and critical decisions. This title discusses the use of neural networks, genetic algorithms, fuzzy set theory and learning machines for sales forecasting and product cross-selling systems, 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 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. Understanding key decision points in the apparel supply chain and the fundamentals of artificial intelligence techniques for apparel management applications are the focus of the opening chapters. Optimizing decision making in clothing management using artificial intelligence (AI) then proceeds to discuss the use of neural networks in selecting the location of apparel manufacturing plants, optimization of apparel production order planning scheduling using genetic algorithms, and the employment of evolutionary strategies and neural networks to optimize cut order and marker planning. The use of genetic algorithms and fuzzy set theory in the optimization of fabric spreading and cutting schedules is discussed, followed by the overall optimization of apparel production systems using genetic algorithms. Intelligent sales forecasting for fashion retailing using harmony search algorithms and extreme learning machines is then considered, before the book concludes with a review of intelligent product cross-selling systems in fashion retailing using radio frequency identification (RFID) technology, fuzzy logic and rule-based expert systems. Drawing on the in-depth knowledge of its expert authors, Optimizing decision making in the apparel supply chain using artificial intelligence (AI): From production to retail is a practical guide for all those involved in the research, design and management of apparel production and retail chains. It also provides a clear overview of the topic for academics interested in the development of this technology Understanding key decision points in the apparel supply chain-- Fundamentals of artificial intelligence techniques for apparel management applications-- Selecting the location of apparel manufacturing plants using neural networks-- Optimizing apparel production order planning scheduling using genetic algorithms-- Optimizing cut order planning in apparel production using evolutionary strategies-- Optimizing marker planning in apparel production using evolutionary strategies and neural networks-- Optimizing fabric spreading and cutting schedules in apparel production using genetic algorithms and fuzzy set theory-- Optimizing apparel production systems using genetic algorithms-- Intelligent sales forecasting for fashion retailing using harmony search algorithms and extreme learning machines-- Intelligent product cross-selling system in fashion retailing using radio frequency identification (RFID) technology, fuzzy logic and rule-based expert system This pioneering book reviews how AI can be used to optimise the apparel supply chain, from production order, cut order and marker planning through to fabric spreading and cutting, sewing and assembly, sales forecasting and cross-selling.