Artificial Intelligence in Manufacturing: Applications and Case Studies
Language: English
Published by Elsevier Science, 2024
- Softcover
- New
Condition: New
£ 168.53
Quantity: 1 available
Add to basketItem description from seller
Explains innovative computational tools and methods in a practical and systematic way Addresses a wide range of manufacturing types, including additive, chemical and pharmaceutical Includes case studies from industry that describe.
Seller Inventory # 897747164
- Title
- Artificial Intelligence in Manufacturing: Applications and Case Studies
- Publisher
- Elsevier Science
- Publication year
- 2024
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 0323991351
- ISBN 13
- 9780323991353
Artificial Intelligence in Manufacturing: Applications and Case Studies provides detailed technical descriptions of emerging applications of AI in manufacturing using case studies to explain implementation. Artificial intelligence is increasingly being applied to all engineering disciplines, producing insights into how we understand the world and allowing us to create products in new ways. This book unlocks the advantages of this technology for manufacturing by drawing on work by leading researchers who have successfully used it in a range of applications. Processes including additive manufacturing, pharmaceutical manufacturing, painting, chemical engineering and machinery maintenance are all addressed.
Case studies, worked examples, basic introductory material and step-by-step instructions on methods make the work accessible to a large group of interested professionals.
- Explains innovative computational tools and methods in a practical and systematic way
- Addresses a wide range of manufacturing types, including additive, chemical and pharmaceutical
- Includes case studies from industry that describe how to overcome the challenges of implementing these methods in practice
"Synopsis" may belong to another edition of this title.
About the Author
Dr. Richard D. Braatz is the Edwin R. Gilliland Professor of Chemical Engineering at MIT, specializing in advanced manufacturing systems. His research focuses on process data analytics, mechanistic modeling, and robust control systems, particularly in monoclonal antibody, vaccine, and gene therapy production. He holds an M.S. and Ph.D. from Caltech and previously served as a professor at the University of Illinois and a visiting scholar at Harvard. Dr. Braatz has received several prestigious awards, including the Donald P. Eckman Award and the Curtis W. McGraw Research Award, and is a Fellow of multiple professional organizations and a member of the U.S. National Academy of Engineering.
"About the title" may belong to another edition of this title.
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