Abstract
North Carolina State University, USAAbstract: The textile and color industry has experienced many technological advances, which have resulted in improvements in quality and productivity. These advances have often accompanied reductions in personnel resources and a diminishing expertise base. Conversely, the resolution of problems in the global manufacturing complex increasingly go beyond the abilities of individual experts and can be very time consuming as the process is influenced by a large number of, often, interactive variables. The application of expert systems in the textile industry can help address many of these problems more effectively and economically. In this chapter, an overview of expert system technology is given and different types of expert systems including rule-based, fault trees, model-based, machine learning and hybrid approaches are described and compared. A brief review of system principles, strengths and shortcomings is given and the development strategy is described. Finally, various applications of expert systems in different sectors of the textile industry including product components (fibre, yarn and fabric), coloration and finishing as well as supply chain and management are highlighted and future trends are briefly portrayed.
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