Smart Technologies for Improved Performance of Manufacturing Systems and Services Bikash Chandra Behera, Bikash Ranjan Moharana, Kamalakanta Muduli, Sardar M. N. Islam
Material type:
TextPublication details: CRC Press September 28, 2023 Edition: 1Description: 210 Pages 75 B/W IllustrationsISBN: - 9781032386898
- 670.427 BEH
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IIITDM Kurnool MECHANICAL ENGINEERING | Non-fiction | 670.427 BEH (Browse shelf(Opens below)) | Available | 0007132 | |
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IIITDM Kurnool MECHANICAL ENGINEERING | Non-fiction | 670.427 BEH (Browse shelf(Opens below)) | Available | 0007133 | |
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Books
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IIITDM Kurnool MECHANICAL ENGINEERING | Non-fiction | 670.427 BEH (Browse shelf(Opens below)) | Available | 0007134 | |
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Books
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IIITDM Kurnool MECHANICAL ENGINEERING | Non-fiction | 670.427 BEH (Browse shelf(Opens below)) | Available | 0007135 | |
Reference
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IIITDM Kurnool Reference | Reference | 670.427 BEH (Browse shelf(Opens below)) | Not For Loan | 0007136 |
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1. Enhancement of Manufacturing Sector Performance with the Application of Industrial Internet of Things (IIoT).
2. Reliability Prediction Using Machine Learning Approach.
3. Quality Control in the Era of IoT and Automation in the Context of Developing Nations.
4. Precision Positioning of Robotic Manipulators in Manufacturing Processes through PID Controller to Contribute towards Sustainability
5. Role of Additive Manufacturing in Industry 4.0.
6. Challenges and Prospects of Welding 4.0 Adoption: Implication for Emerging Economics.
7. An Approach to Friction Stir Additive Manufacturing of Light Weight Metal Alloys.
8. Analysis and Improvement Performance of Manufacturing in Friction Stir Welding.
9. Multi-Response Optimization of Process Parameters in Friction Stir Additive Manufacturing of Magnesium Alloy.
10. Ultrasonic Welding for Light-Weight Structural Applications: An Industry Perspective.
11. Supervised Machine Learning Algorithms for Machinability Assessment of Graphene Reinforced Aluminium Metal Matrix Composites.
12. Focused Ion Beam Machining as a Technology for Long Term Sustainability.
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.
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