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The article presents research on industrial quality control system based on AI deep learning method. They are a part of larger project focusing on development of Holonic Shop Floor Control System for integration of machines, machine operators and manufacturing process monitoring with information flow in whole production process according to Industry 4.0 requirements. A system connecting together machine...
Monitoring is an important part of manufacturing process control and management. It plays a crucial role in ensuring agility in a manufacturing system, process robustness, responsiveness to client demands, and achievement of a sustainable production environment. Recent developments in information systems and computer technology allows for the implementation of new philosophies that integrate various...
Strong competition, changes in customer requirements and growing complexity of manufacturing systems make human factor more and more important. It seems that the best idea for management of complex manufacturing and market imposted production changes, is to use small, human-orientated semi-autonomous units. Such units at the basic level of manufacturing should be supported by suitable information...
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