Cyber-physical and Gentelligent systems in manufacturing and Life Cycle / edited by Tobis Morke and Berend Denkena
Series: Genetics and Intelligence - Keys to Industry 4.0Publication details: London: Academic Press. ©2017.Description: vi, 480pISBN:- 9780128119396
- 670 DenC
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Indian Institute of Technology Tirupati General Stacks | Mechanical | 670 DenC (11619) (Browse shelf(Opens below)) | Available | 11619 |
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| 669.9673 BAN/P Phase Transformations : examples from titanium and zirconium alloys / | 670 BLA/D DeGarmo's Materials and Processes in Manufacturing / | 670 BLA/D DeGarmo's Materials and Processes in Manufacturing / | 670 DenC (11619) Cyber-physical and Gentelligent systems in manufacturing and Life Cycle / | 670 GHO/M Manufacturing Science/ | 670 GHO/M Manufacturing Science/ | 670 GHO/M Manufacturing Science/ |
Cyber-Physical and Gentelligent Systems in Manufacturing and Life Cycle explores the latest technologies resulting from the integration of sensing components throughout the production supply chain, and the resulting possibilities to improve efficiency, flexibility, and product quality. The authors present cutting edge research into data storage in components, communication devices, data acquisition, as well as new industrial applications.
Detailed technical descriptions of the tools are presented in addition to discussions of how these systems have been used, the benefits they provide, and what industry problems they could tackle in the future. This is essential reading for researchers and production engineers interested in the potential of cyber physical systems to optimize all parts of the supply chain.
Addresses applications of cyber physical systems throughout the product lifecycle, including design, manufacture, and maintenance
Features five industry case studies examining tools in different stages of the production chain
Provides an invaluable recap of 12 years of advances in digitization of production processes and the implementation of intelligent systems
Explores how these technologies could be used to solve problems in the future
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