Smart Manufacturing
Concepts and Methods
- 1st Edition - August 7, 2020
- Editors: Masoud Soroush, Michael Baldea, Thomas F. Edgar
- Language: English
- Paperback ISBN:9 7 8 - 0 - 1 2 - 8 2 0 0 2 7 - 8
- eBook ISBN:9 7 8 - 0 - 1 2 - 8 2 0 3 8 0 - 4
Research efforts in the past ten years have led to considerable advances in the concepts and methods of smart manufacturing. Smart Manufacturing: Concepts and Methods puts… Read more
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Research efforts in the past ten years have led to considerable advances in the concepts and methods of smart manufacturing. Smart Manufacturing: Concepts and Methods puts these advances in perspective, showing how process industries can benefit from these new techniques. The book consolidates results developed by leading academic and industrial groups in the area, providing a systematic, comprehensive coverage of conceptual and methodological advances made to date.
Written by leaders in the field from around the world, Smart Manufacturing: Concepts and Methods is essential reading for graduate students, researchers, process engineers, and managers. It is complemented by a companion book titled Smart Manufacturing: Applications and Case Studies, which covers the applications of smart manufacturing concepts and methods in process industries and beyond.
- Takes a process-systems engineering approach to design, monitoring, and control of smart manufacturing systems
- Brings together the key concepts and methods of smart manufacturing, including the advances made in the past decade
- Includes coverage of computation methods for process optimization, control, and safety, as well as advanced modelling techniques
Process engineers, managers and consultants in process industries, postdoctoral researchers, and graduate students
1. Smart Manufacturing: It’s a Journey, Not a Destination
2. Implementing/Adopting Smart Manufacturing across an Industrial Organization
3. Industrie 4.0 and International Perspective
4. Cyberinfrastructure for the Democratization of Smart Manufacturing
5. Hardware and Software for Smart Manufacturing
6. Measuring, Managing and Transforming Data for Operational Insights
7. The Role of Advanced Process Modeling in Smart Manufacturing
8. Industrial AI and Predictive Analytics for Smart Manufacturing Systems
9. Computational Framework for Smart Manufacturing via PARametric Optimization and Control (PAROC)
10. A Systems Engineering Driven Decomposition Approach for Large Scale Industrial Decision-Making Processes
11. Model-Predictive Safety: a New Generation of Functional Safety Systems
12. Inferential Modeling and Soft Sensors
13. A Decision Support Framework for Sustainable and Smart Manufacturing
14. Smart Manufacturing Pedagogy for the Anthropocene
2. Implementing/Adopting Smart Manufacturing across an Industrial Organization
3. Industrie 4.0 and International Perspective
4. Cyberinfrastructure for the Democratization of Smart Manufacturing
5. Hardware and Software for Smart Manufacturing
6. Measuring, Managing and Transforming Data for Operational Insights
7. The Role of Advanced Process Modeling in Smart Manufacturing
8. Industrial AI and Predictive Analytics for Smart Manufacturing Systems
9. Computational Framework for Smart Manufacturing via PARametric Optimization and Control (PAROC)
10. A Systems Engineering Driven Decomposition Approach for Large Scale Industrial Decision-Making Processes
11. Model-Predictive Safety: a New Generation of Functional Safety Systems
12. Inferential Modeling and Soft Sensors
13. A Decision Support Framework for Sustainable and Smart Manufacturing
14. Smart Manufacturing Pedagogy for the Anthropocene
- Edition: 1
- Published: August 7, 2020
- Language: English
MS
Masoud Soroush
Masoud Soroush is the George B. Francis Chair Professor of Engineering at Drexel University and directs the Future Layered nAnomaterials Knowledge and Engineering (FLAKE) Consortium, collaborating with over 30 researchers from Drexel, the University of Pennsylvania, and Purdue. He has held positions as a Visiting Scientist at DuPont and a Visiting Professor at Princeton. An Elected Fellow of AIChE and Senior Member of IEEE, Soroush has received numerous awards, including the AIChE 2023 Excellence in Process Development Research Award. He holds a BS from Abadan Institute of Technology and MS/PhD degrees from the University of Michigan, with research focusing on advanced manufacturing and nanomaterials.
Affiliations and expertise
Professor of Chemical and Biological Engineering, Drexel University, Philadelphia, PA, USAMB
Michael Baldea
Michael Baldea is an associate professor and the Frank A. Liddell, Jr. Centennial Fellow in the McKetta Department of Chemical Engineering, and a core faculty member in the Institute for Computational Engineering and Sciences (ICES) at the University of Texas at Austin, Texas, United States. He obtained his diploma and M.Sc. in chemical engineering from Babes-Bolyai University in Cluj-Napoca, Romania, and a doctorate in chemical engineering from the University of Minnesota. Prior to joining the University of Texas, he held industrial research positions with Praxair Technology Center in Tonawanda, New York, United States, and GE Global Research in Niskayuna, New York, United States. He has received several research and service awards, including the Outstanding Young Researcher Award from the Computing and Systems Technology Division of AIChE, the NSF CAREER award, the Moncrief Grand Challenges Award, the ACS Doctoral New Investigator Award, the Model-Based Innovation Prize from Process Systems Enterprise, and the Best Referee Award from the Journal of Process Control. His research interests include the dynamics, optimization, and control of process and energy systems. Dr. Baldea serves on the advisory boards of several commercial and non-profit entities, and as a member of the editorial boards of several leading technical journals, including Industrial & Engineering Chemistry Research, the Journal of Process Control, and Chemical Engineering Research and Design. He has co-authored one book, three book chapters, and over 100 peer-reviewed journal and conference articles.
Affiliations and expertise
McKetta Department of Chemical Engineering, The University of Texas at Austin, Texas, USATE
Thomas F. Edgar
Thomas F. Edgar is the George T. and Gladys H. Abell Chair in Chemical Engineering at the University of Texas at Austin. For the past 40 years, Dr. Edgar has concentrated his academic work in process modeling, control, and optimization. He has published over 500 articles and book chapters, as well as two leading textbooks focusing on separations, chemical reactors, coal combustion and gasification, and semiconductor manufacturing. Dr. Edgar has received numerous awards from major professional organizations, including the AIChE Lewis Award and the AACC Richard E. Bellman Control Heritage Award. He is a member of the National Academy of Engineering.
Affiliations and expertise
McKetta Department of Chemical Engineering, The University of Texas at Austin, Texas, USARead Smart Manufacturing on ScienceDirect