Computational Intelligence in Manufacturing Paperback / softback
Edited by Kaushik (Associate Professor, Department of Mechanical Engineering, Birla Institute of Techno Kumar, Ganesh M. (Professor, Associate Head of the School of Mechanical Engineering, Dr. Vishwa Kakandikar, J. Paulo (Department of Mechanical Engineering, University of Aveiro, Aveiro, Portugal) Davim, J. Paulo (Professor, Department of Mechanical Engineering, University of Aveiro, Portugal) Davim
Part of the Woodhead Publishing Reviews: Mechanical Engineering Series series
Paperback / softback
Description
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.
Information
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Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Paperback / softback
- Pages:224 pages
- Publisher:Elsevier Science Publishing Co Inc
- Publication Date:01/06/2022
- Category:
- ISBN:9780323918541
Information
-
Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Paperback / softback
- Pages:224 pages
- Publisher:Elsevier Science Publishing Co Inc
- Publication Date:01/06/2022
- Category:
- ISBN:9780323918541