Optimization of Manufacturing Systems Using the Internet of Things 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.
As modern manufacturing shop-floors can create bottlenecks in the capturing and collection of real-time field information, and because paper-based manual systems are time-consuming and prone to errors, this book helps readers understand how to alleviate these issues, assisting them in their decision-making on shop-floors.
1. Chapter 1: Introduction - p. xii 2. Chapter 2: Overview of IoT-Enabled Manufacturing System - p. 20 3. Chapter 3: Real-Time and Multisource Manufacturing Information Sensing System - p. 41 4. Chapter 4: IoT-Enabled Smart Assembly Station - p. 65 5. Chapter 5: Cloud Computing-Based Manufacturing Resources Configuration Method - p. 84 6. Chapter 6: IoT-Enabled Smart Trolley - p. 107 7. Chapter 7: Real-Time Key Production Performances Analysis Method - p. 127 8. Chapter 8: Real-Time Information-Driven Production Scheduling System - p. 145 9. Chapter 9: IoT-MS Prototype System - p. 163 10. Chapter 10: Conclusions and Future Works - p. 200 11. Index - p. 203
Optimization of Manufacturing Systems Using the Internet of Things 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.
As modern manufacturing shop-floors can create bottlenecks in the capturing and collection of real-time field information, and because paper-based manual systems are time-consuming and prone to errors, this book helps readers understand how to alleviate these issues, assisting them in their decision-making on shop-floors.
1. Chapter 1: Introduction - p. xii 2. Chapter 2: Overview of IoT-Enabled Manufacturing System - p. 20 3. Chapter 3: Real-Time and Multisource Manufacturing Information Sensing System - p. 41 4. Chapter 4: IoT-Enabled Smart Assembly Station - p. 65 5. Chapter 5: Cloud Computing-Based Manufacturing Resources Configuration Method - p. 84 6. Chapter 6: IoT-Enabled Smart Trolley - p. 107 7. Chapter 7: Real-Time Key Production Performances Analysis Method - p. 127 8. Chapter 8: Real-Time Information-Driven Production Scheduling System - p. 145 9. Chapter 9: IoT-MS Prototype System - p. 163 10. Chapter 10: Conclusions and Future Works - p. 200 11. Index - p. 203
