The current perspectives of smart and sustainable manufacturing systems hold important implications for current practices and understanding these concepts for further implications. This comprehensive reference text discusses both centralized and decentralized production systems, using variety of new cutting-edge approaches to solve the problem.
The text covers simulation-based approaches including social network-based approaches, discrete event-based approaches, and knowledge based for smart and sustainable systems. It further covers mathematical models such as single-objective, multi-objective, and many-objective. The text discusses important topics including energy efficiency, transportation constrains for efficient and effective production, meta-heuristic and hybrid algorithms, and real-time monitoring and analysis for smart and sustainable production.
This book-
• Presents approaches to improve the objectives of sustain-ability and smart production systems.
• Discusses Internet of Things (IoT) and Industrial Internet of Things (IIoT) concepts and its implementation for production systems.
• Covers social network analysis method in distributed manufacturing systems.
• Examines reckoning prognostics and diagnostics to monitor the health of the systems in perspective of distributed manufacturing.
• Discusses aspects of Industry 4.0 in specific production systems.
The text will be useful for graduate students and professional in the fields of mechanical engineering, production engineering, industrial engineering, and manufacturing.
Author(s): Jayakrishna Kandasamy, Kamalakanta Muduli, V.P. Kommula, Purushottam Meena
Series: Advances in Intelligent Decision-Making, Systems Engineering, and Project Management
Publisher: CRC Press
Year: 2022
Language: English
Pages: 128
City: Boca Raton
Cover
Half Title
Series
Title
Copyright
Contents
Editors
Contributors
Abbreviations
Chapter 1 Organizational Transformation towards Industry 4.0 Technologies
Chapter 2 The Autonomy of Autonomous Robots
Chapter 3 Smart Technologies for Industry 4.0 and Its Future
Chapter 4 Digital Twin–Based Smart Manufacturing—Concept and Applications
Chapter 5 Applications of Augmented and Virtual Reality in Contemporary Manufacturing Organisations
Chapter 6 Cloud-Based Manufacturing Service Selection Using Simulation Approaches
Chapter 7 Go Unsupervised via Artificial Intelligence
Chapter 8 Integration of Cyber-Physical Systems for Flexible Systems
Chapter 9 Wearables to Improve Efficiency, Productivity, and Safety of Operations
Chapter 10 Analysis of Factors Influencing Cloud Computing Adoption in Industry 4.0-Based Advanced Manufacturing Systems
Chapter 11 Liberating 3D Printing for a New Normal in Manufacturing
Index
