This book investigates the rapid developments of Artificial intelligence (AI) as well as their capability to address efficiently and in a cost-effective manner issues of the manufacturing field. A number of manufacturing applications of AI related to manufacturing processes, robots, automation and manufacturing systems design and control, are presented and discussed. The book includes an outlook on a way forward to intelligent manufacturing, through AI. The real benefit from AI in manufacturing will not only derive through the automation of tasks but also through the provision of new levels of autonomy that will make entirely new applications possible and introduce new business processes in manufacturing.
Author(s): George Chryssolouris, Kosmas Alexopoulos, Zoi Arkouli
Series: Studies in Systems, Decision and Control, 436
Publisher: Springer
Year: 2023
Language: English
Pages: 141
City: Cham
Preface
Acknowledgement
Contents
1 Introduction
1.1 Introduction
References
2 Artificial Intelligence in Manufacturing Processes
2.1 Introduction in Manufacturing Processes
2.2 Process Monitoring and Data Processing
2.3 Process Modeling, Optimization and Control
2.4 Fault Diagnosis, Tool Wear Prediction, and Remaining Useful Life Estimation
2.5 Process Quality Assessment and Prediction
2.6 AI Impact and Limitations
References
3 Artificial Intelligence in Manufacturing Equipment, Automation, and Robots
3.1 Introduction in the Manufacturing Equipment
3.2 Manufacturing Equipment Definition—Design—Selection
3.3 Task Planning and Machine Programming
3.4 Machine Control and Workstation Orchestration
3.5 Machine Perception
References
4 Artificial Intelligence in Manufacturing Systems
4.1 Introduction in the Manufacturing Systems Hierarchical Level
4.2 AI for the Design of Manufacturing Systems
4.3 AI for the Operation of Manufacturing Systems
4.4 Digital Platforms and ICT Technologies for AI Applications in Manufacturing Systems
References
