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Modern manufacturing shop-floors can create bottlenecks in the capturing and collection of real-time field information. Paper-based manual systems are time-consuming and prone to errors. As a result, information often fails to accurately and promptly reflect reality, or indicate the changes that warn of disturbances. Without up to date information, it is impossible to make accurate shopfloor decisions. To address these problems, this book extends the IoT (Internet of Things) into the manufacturing field to develop an IoMT (Internet of Manufacturing Things) architecture with real-time traceability, visibility and interoperability in production planning, execution and control. This book is essential reading for anyone interested in the optimization and control of an intelligent manufacturing system. Includes case studies in implementing IoTs for data acquisition, monitoring, and assembly in manufacturingHelps manufacturers to tackle the growing complexities and uncertainties of manufacturing systems in globalized business environmentsActs as an introduction to using IoT for readers across industrial and manufacturing engineering