Computational Intelligence in Manufacturing - Kaushik Kumar,Ganesh M. Kakandikar,J. Paulo Davim
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Piegāde 10-16 darba dienu laikā
30 dienu atgriešanas politika
Computational Intelligence in Manufacturing addresses applications of AI, machine learning and other innovative computational techniques across the manufacturing supply chain. The rapid development of smart or digital manufacturing known as Industry 4.0 has swiftly provided a large number of opportunities for product and manufacturing process improvement. Selecting the appropriate technologies and combining ... Pilns apraksts
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Aprašymas
Computational Intelligence in Manufacturing addresses applications of AI, machine learning and other innovative computational techniques across the manufacturing supply chain. The rapid development of smart or digital manufacturing known as Industry 4.0 has swiftly provided a large number of opportunities for product and manufacturing process improvement. Selecting the appropriate technologies and combining them successfully is a challenge this book helps readers overcome . It explains how to prepare different manufacturing cells for flexibility and enhanced productivity with better supply chain management, e.g., calibrating design machine tools for automation and agility.
Computational intelligence applications for non-conventional manufacturing processes such as ECM and EDM are covered alongside recent advances in traditional processes like casting, welding and metal forming. As well as describing specific applications, this practical guide also explains the computational intelligence paradigm for enhanced supply chain management.
- Includes hot topics such as augmented and virtual reality applications in manufacturing
- Provides details of computational techniques, such as nature inspired algorithms for manufacturing process modeling
- Gives practical technical advice on how to calibrate processes and tools to work efficiently in an industry 4.0 system
Vairāk informācijas
| Autors | Kaushik Kumar, Ganesh M. Kakandikar, J. Paulo Davim |
|---|---|
| Izdevējs | Elsevier Science |
| Izlaides gads | 2022 |
| Vāka tips | Mīkstais vāks |
| EAN | 9780323918541 |