This book discusses smart technologies and their influence in the field of manufacturing and industrial systems engineering, in the context of performability enhancement, and explores the development of the workforce for the execution of such smart and advanced technologies.
Smart Technologies for Improved Performance of Manufacturing Systems and Services discusses the integration of smart technology into the production process and supply chain to enhance the overall performance of manufacturing industries. As well as emphasizing the fundamentals of smart technologies, such as artificial intelligence, big data, and cyber-physical systems, it highlights the role that machine learning plays along with other smart technologies. Real-time case studies highlight the applications of smart digital technologies, and research insights into the area of performability and overall sustainable development round out the great range of discussions this reference book has to offer.
Managers and stakeholders seeking coverage on techniques and methods for integration into their organizations, as well as students and researchers in the field will find this book very useful.
Preface
Chapter 1 : Enhancement of Manufacturing Sector Performance with the Application of Industrial Internet of Things (IIoT)
Chapter 2 : Reliability Prediction Using Machine Learning Approach
Chapter 3 : Quality Control in the Era of IoT and Automation in the Context of Developing Nations
Chapter 4 : Precision Positioning of Robotic Manipulators in Manufacturing Processes through PID Controller to Contribute towards Sustainability
Chapter 5 : Role of Additive Manufacturing in Industry 4.0
Chapter 6 : Challenges and Prospects of Welding 4.0 Adoption : Implication for Emerging Economics
Chapter 7 : An Approach to Friction Stir Additive Manufacturing of Light Weight Metal Alloys
Chapter 8 : Analysis and Improvement Performance of Manufacturing in Friction Stir Welding
Chapter 9 : Multi-Response Optimization of Process Parameters in Friction Stir Additive Manufacturing of Magnesium Alloy
Chapter 10 : Ultrasonic Welding for Light-Weight Structural Applications : An Industry Perspective
Chapter 11 : Supervised Machine Learning Algorithms for Machinability Assessment of Graphene Reinforced Aluminium Metal Matrix Composites
Chapter 12 : Focused Ion Beam Machining as a Technology for Long Term Sustainability
Index
