Intelligent Manufacturing Systems
Digitalization of Industrial Production
1st Edition
Will be published approx. on 30. October 2026
Book
Hardback
312 pages
978-1-032-94935-2 (ISBN)
Description
This book offers an in-depth exploration of the evolution, implementation, and impact of modern technologies in manufacturing. The book provides a comprehensive analysis of Cyber-Physical Systems (CPSs), the Internet of Things (IoT), Cloud computing, Artificial Intelligence (AI), and Big Data analytics, demonstrating their role in optimizing design, production, and management processes. With detailed case studies, structured literature reviews, and real-world applications, this guide is an essential resource for scholars, researchers, and professionals aiming to understand and leverage the advancements in Intelligent Manufacturing Systems.
Key Features
Overview of digital twin technology, enabling virtual replication of physical assets for simulation, analysis, and optimization.
Examination of IoT's role in connecting devices and sensors to enhance data collection, monitoring, and decision-making processes.
Analysis of AI and ML applications in predictive maintenance, quality control, and production .
Exploration about Intelligent robotics which can sense, learn, adapt, and make autonomous decision during the manufacturing.
Examination of the interaction between human workers and intelligent systems, focusing on enhancing productivity and safety.
Key Features
Overview of digital twin technology, enabling virtual replication of physical assets for simulation, analysis, and optimization.
Examination of IoT's role in connecting devices and sensors to enhance data collection, monitoring, and decision-making processes.
Analysis of AI and ML applications in predictive maintenance, quality control, and production .
Exploration about Intelligent robotics which can sense, learn, adapt, and make autonomous decision during the manufacturing.
Examination of the interaction between human workers and intelligent systems, focusing on enhancing productivity and safety.
More details
Language
English
Place of publication
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
Professional and scholarly
Academic
Illustrations
31 farbige Abbildungen, 5 s/w Photographien bzw. Rasterbilder, 1 Farbfoto bzw. farbiges Rasterbild, 30 s/w Zeichnungen, 30 farbige Zeichnungen, 41 s/w Tabellen, 35 s/w Abbildungen
41 Tables, black and white; 30 Line drawings, color; 30 Line drawings, black and white; 1 Halftones, color; 5 Halftones, black and white; 31 Illustrations, color; 35 Illustrations, black and white
Dimensions
Height: 234 mm
Width: 156 mm
ISBN-13
978-1-032-94935-2 (9781032949352)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
P. Suresh | Pravin Kumar Singh | T. Poongodi
Intelligent Manufacturing Systems
Digitalization of Industrial Production
E-Book
approx. 10/2026
Chapman and Hall
€114.99
Not yet available
P. Suresh | Pravin Kumar Singh | T. Poongodi
Intelligent Manufacturing Systems
Digitalization of Industrial Production
E-Book
approx. 10/2026
Chapman and Hall
€114.99
Not yet available
Persons
Dr. Pravin Kumar Singh is an accomplished academician and researcher in the field of Mechanical Engineering, currently serving as an Associate Professor at Galgotias University, Greater Noida, India. With over 8 years of teaching and research experience, he holds a Ph.D. in Manufacturing Engineering from NIT Jamshedpur, specializing in vibratory welding techniques and materials processing.
Dr. Singh's core areas of expertise include advanced welding technology, robotics welding, smart manufacturing, 3D printing, and sensors and transducers. He has contributed extensively to academia through peer-reviewed publications in SCI/Scopus-indexed journals, book chapters with Springer and Elsevier, and as an editor of reputed international conference proceedings. He is also a reviewer for several renowned journals under Elsevier and IOP.
A strong advocate of industry-academia collaboration, Dr. Singh has coordinated numerous internships and skill development programs in partnership with top-tier companies such as BOSCH, TSPDI, and Prinston Engineering Ltd. He has also played key roles in institutional development, including NAAC accreditation processes, curriculum innovation, and student mentorship initiatives.
Prof. (Dr.) P. Suresh is a Professor in the Department of Mechanical Engineering and also serves as Controller of Examinations at J.J college of Engineering and Technology, Tamil Nadu, India. He has also served as the University-level Academic Coordinator at Galgotias University, Greater Noida.
Dr. Suresh received his Ph.D. in Faculty of Mechanical Engineering from Anna University, Tamil Nadu, in 2014. He completed his Master of Engineering in Engineering Design from Bharathiyar University, Coimbatore in 2001 and his Bachelor of Engineering from the University of Madras, Chennai, in 2000.
With over 24 years of experience in academic and research, his areas of expertise include optimizations, machinability of materials, composite materials and metal matric composite materials. He has authored more than 55 research publications in reputed international journals, conferences and book chapters published by Elsevier, Springer, IET and other leading publishers.
Dr. T. Poongodi is presently working as a Professor in the Department of Computer Science and Engineering, School of Engineering at the Dayananda Sagar University, Bangalore, India. She received her Ph.D. degree in Information Technology (Information and Communication Engineering) from Anna University, Tamil Nadu, India. She is the author of over 50+ (Scopus Indexed) book chapters including some reputed publishers such as Springer, Elsevier, IET, Wiley, De-Gruyter, CRC Press, etc. and 30+ (SCI/Scopus) international journals and conferences. She has published 15+ authored/edited books in the areas of Internet of Things, Data Analytics, Blockchain Technology, Artificial Intelligence, Machine Learning, and Healthcare Informatics, published by renowned publishers. With over 19 years of extensive experience in teaching and multi-disciplinary research, she has been recognized with several prestigious awards, including the Research and Innovation award and Excellence in the area of Research & Innovation/ Academic Excellence from Galgotias University, Delhi-NCR. She is a senior member of The Institute of Electrical and Electronics Engineers (IEEE).
Dr. Gopal Rathinam received his master's degree from Department of Computer Science and Engineering, Anna University, India, in 2010 and Ph.D. degree from Department of Information and communication Engineering, Anna University, India, in 2018. He is currently working as Assistant Professor, in college of Engineering, University of Buraimi, Oman. His research interests span wireless sensor networks, malicious node detection, Cooperative network, and Internet of Things. He got a grant of 40,000 OMR from the ministry of Higher Education and research and Innovation and 10,000 OMR grant in internal funded project. He has served on many technical program committees and as reviewer in reputed journals like wireless Personal Communication Springer. He has a list of publication in reputed journals, editor for 3 Scopus indexed books and published 9 book chapters.
Dr. P. Senthil received his Master's degree in Mechanical Engineering from Bharathiar University, India, in 2002, and his Ph.D. in Mechanical Engineering from Anna University, India, in 2012. He is currently serving as a Senior Lecturer at the College of Engineering and Technology, University of Technology and Applied Sciences (UTAS), Muscat, Sultanate of Oman.
His research interests include Squeeze Casting, Pressure Die Casting, Non-ferrous Composites, Rapid Prototyping, and Process Optimization. He has published extensively in reputed international journals and conference proceedings. Dr. Senthil has also contributed to the academic community by serving on various technical program committees and acting as a reviewer for several esteemed international journals.
Dr. Singh's core areas of expertise include advanced welding technology, robotics welding, smart manufacturing, 3D printing, and sensors and transducers. He has contributed extensively to academia through peer-reviewed publications in SCI/Scopus-indexed journals, book chapters with Springer and Elsevier, and as an editor of reputed international conference proceedings. He is also a reviewer for several renowned journals under Elsevier and IOP.
A strong advocate of industry-academia collaboration, Dr. Singh has coordinated numerous internships and skill development programs in partnership with top-tier companies such as BOSCH, TSPDI, and Prinston Engineering Ltd. He has also played key roles in institutional development, including NAAC accreditation processes, curriculum innovation, and student mentorship initiatives.
Prof. (Dr.) P. Suresh is a Professor in the Department of Mechanical Engineering and also serves as Controller of Examinations at J.J college of Engineering and Technology, Tamil Nadu, India. He has also served as the University-level Academic Coordinator at Galgotias University, Greater Noida.
Dr. Suresh received his Ph.D. in Faculty of Mechanical Engineering from Anna University, Tamil Nadu, in 2014. He completed his Master of Engineering in Engineering Design from Bharathiyar University, Coimbatore in 2001 and his Bachelor of Engineering from the University of Madras, Chennai, in 2000.
With over 24 years of experience in academic and research, his areas of expertise include optimizations, machinability of materials, composite materials and metal matric composite materials. He has authored more than 55 research publications in reputed international journals, conferences and book chapters published by Elsevier, Springer, IET and other leading publishers.
Dr. T. Poongodi is presently working as a Professor in the Department of Computer Science and Engineering, School of Engineering at the Dayananda Sagar University, Bangalore, India. She received her Ph.D. degree in Information Technology (Information and Communication Engineering) from Anna University, Tamil Nadu, India. She is the author of over 50+ (Scopus Indexed) book chapters including some reputed publishers such as Springer, Elsevier, IET, Wiley, De-Gruyter, CRC Press, etc. and 30+ (SCI/Scopus) international journals and conferences. She has published 15+ authored/edited books in the areas of Internet of Things, Data Analytics, Blockchain Technology, Artificial Intelligence, Machine Learning, and Healthcare Informatics, published by renowned publishers. With over 19 years of extensive experience in teaching and multi-disciplinary research, she has been recognized with several prestigious awards, including the Research and Innovation award and Excellence in the area of Research & Innovation/ Academic Excellence from Galgotias University, Delhi-NCR. She is a senior member of The Institute of Electrical and Electronics Engineers (IEEE).
Dr. Gopal Rathinam received his master's degree from Department of Computer Science and Engineering, Anna University, India, in 2010 and Ph.D. degree from Department of Information and communication Engineering, Anna University, India, in 2018. He is currently working as Assistant Professor, in college of Engineering, University of Buraimi, Oman. His research interests span wireless sensor networks, malicious node detection, Cooperative network, and Internet of Things. He got a grant of 40,000 OMR from the ministry of Higher Education and research and Innovation and 10,000 OMR grant in internal funded project. He has served on many technical program committees and as reviewer in reputed journals like wireless Personal Communication Springer. He has a list of publication in reputed journals, editor for 3 Scopus indexed books and published 9 book chapters.
Dr. P. Senthil received his Master's degree in Mechanical Engineering from Bharathiar University, India, in 2002, and his Ph.D. in Mechanical Engineering from Anna University, India, in 2012. He is currently serving as a Senior Lecturer at the College of Engineering and Technology, University of Technology and Applied Sciences (UTAS), Muscat, Sultanate of Oman.
His research interests include Squeeze Casting, Pressure Die Casting, Non-ferrous Composites, Rapid Prototyping, and Process Optimization. He has published extensively in reputed international journals and conference proceedings. Dr. Senthil has also contributed to the academic community by serving on various technical program committees and acting as a reviewer for several esteemed international journals.
Content
List of Contributors. About The Editors. Chapter 1: Transformer Based Computer Vision Technique for Improving Manufacturing Quality. Chapter 2: Production and Operations Management for Intelligent Manufacturing. Chapter 3: Generation and Optimization of Mid-term Production Distribution Plan Using Metaheuristic Techniques. Chapter 4: Big Data in Intelligent Manufacturing. Chapter 5: Deep Learning for Intelligent Manufacturing. Chapter 6: AI And ML Techniques for Manufacturing Domain. Chapter 7 : Development of a Cloud-Based Intelligent Manufacturing. Chapter 8: Digital Twin for Manufacturing. Chapter 9: Internet of Things for Intelligent Manufacturing Systems. Chapter 10. Industrial Internet of Things and Cyber Manufacturing Systems. Chapter 11: Intelligent Robotics in Manufacturing: The Role of AI-Driven Automation. Index.