Full Description
This textbook introduces intelligent manufacturing concepts and strategies toward systems' best performance, especially concerning design and operations. It simplifies theory concepts through examples of real-life systems worldwide and presents many modern concepts such as digital twins, industrial decision-making, intelligent control systems, cobots, augmented reality/mixed reality, cloud manufacturing, and manufacturing execution systems.
Intelligence Manufacturing: Concepts and Beyond covers the fundamental principles of intelligent manufacturing and provides a comprehensive resource for readers at different levels of expertise. The textbook is written in an infographic language, making complex concepts accessible to a broader audience. It includes many examples and numerical and practical exercises that reinforce learning and demonstrate how intelligent manufacturing systems work. The textbook discusses contemporary technologies and trends, such as digital control, automation, and Machine/Deep learning, and provides a global perspective towards new emerging trends as it spans various technologies across different disciplines.
Written for both undergraduate and graduate courses, this textbook will take the reader from basic concepts and applications to advanced topics and can be the sole source to reach knowledge and explore future possibilities related to intelligent manufacturing techniques, methodologies, and operations concepts, and beyond.
A Solutions Manual, PowerPoint slides, and figure slides are available for qualified textbook adoption.
Contents
Part I: Concepts in Intelligent Manufacturing. 1. Manufacturing Concepts and Intelligent Manufacturing. 2. Computer-Aided Design (CAD), Computer-Aided Process Planning (CAPP), Computer-Aided Manufacturing (CAM), and Intelligent Manufacturing. 3. Intelligent Control in Manufacturing Systems. 4. Production Planning and Control. 5. Sensors. Part II: Intelligent Manufacturing: Transcending the Notions. 6. Role of Decision Intelligence and Machine Learning in Intelligent Manufacturing. 7. Immersive Technologies in Intelligent Manufacturing. 8. Product Lifecycle Management, Big Data and Cloud Manufacturing. 9. Converging Technologies for Smart, Circular, and Energy-Efficient Manufacturing.
