Digital Twins in Industrial Production and Smart Manufacturing (eBook)
448 Seiten
Wiley (Verlag)
978-1-394-19532-9 (ISBN)
Comprehensive reference exploring the benefits and implementation of digital twins in industrial production and manufacturing
Digital Twins in Industrial Production and Smart Manufacturing provides an overview of digital twin theoretical concepts, techniques, and recent trends used to meet the requirements and challenges of industrial production and smart manufacturing. The text describes how to achieve industrial excellence through virtual factory simulation and digital modeling innovations for next-generation manufacturing system design. The contributing authors address the many possible technical advantages of major Industry 5.0 technological advancements, using illustrations to aid readers in practical implementation of concepts, along with existing scenarios, potential research gaps, adoption difficulties, case studies, and future research objectives.
The text also presents many applications and use cases of Industry 5.0 and digital twins in a variety of industries, including the aerospace industry, pharmaceutical manufacturing and biotech, augmented reality, virtual reality, edge computing and blockchain-based Internet of Things (IoT), cobots, intelligent logistics and supply chain management, and more.
Edited by a group of highly qualified academics with significant experience in the field, Digital Twins in Industrial Production and Smart Manufacturing covers additional topics such as:
- Hyper-automation technology, including specialized workflow procedures and particular sectors of solicitations linked to hyper-automation
- Digital twins in the context of smart cities, with attempts to draw comparisons with the use of digital twins in industrial IoT
- Virtual factories based on digital twins and corresponding architecture to facilitate modeling, simulation, and assessment of manufacturing systems
- Cognitive, interactive, and standardization aspects of digital twins, and the proper implementation of digital twin technology for safety critical systems
Digital Twins in Industrial Production and Smart Manufacturing is a must-have reference for researchers, scholars, and professionals in fields related to digital twins in industrial production and manufacturing. It is also suitable as a hands-on resource for students interested in the fields of digital twins and smart manufacturing.
Rajesh Kumar Dhanaraj, PhD, is a Full Professor at Symbiosis International (Deemed University), Pune, India.
Balamurugan Balusamy, PhD, is an Associate Dean Student in Shiv Nadar University, Delhi-NCR.
Prithi Samuel, PhD, is an Assistant Professor in the Department of Computational Intelligence at SRM Institute of Science and Technology, Kattankulathur Campus, Chennai.
Ali Kashif Bashir, PhD, is a Chair Professor of Networks and Security at the Manchester Metropolitan University, UK.
Seifedine Kadry, PhD, is a Full Professor of Data Science with the Department of Computer Science and Mathematics, Lebanese American University, Beirut, Lebanon; Department of Applied Data Science, Noroff University College, Kristiansand, Norway.
Comprehensive reference exploring the benefits and implementation of digital twins in industrial production and manufacturing Digital Twins in Industrial Production and Smart Manufacturing provides an overview of digital twin theoretical concepts, techniques, and recent trends used to meet the requirements and challenges of industrial production and smart manufacturing. The text describes how to achieve industrial excellence through virtual factory simulation and digital modeling innovations for next-generation manufacturing system design. The contributing authors address the many possible technical advantages of major Industry 5.0 technological advancements, using illustrations to aid readers in practical implementation of concepts, along with existing scenarios, potential research gaps, adoption difficulties, case studies, and future research objectives. The text also presents many applications and use cases of Industry 5.0 and digital twins in a variety of industries, including the aerospace industry, pharmaceutical manufacturing and biotech, augmented reality, virtual reality, edge computing and blockchain-based Internet of Things (IoT), cobots, intelligent logistics and supply chain management, and more. Edited by a group of highly qualified academics with significant experience in the field, Digital Twins in Industrial Production and Smart Manufacturing covers additional topics such as: Hyper-automation technology, including specialized workflow procedures and particular sectors of solicitations linked to hyper-automationDigital twins in the context of smart cities, with attempts to draw comparisons with the use of digital twins in industrial IoTVirtual factories based on digital twins and corresponding architecture to facilitate modeling, simulation, and assessment of manufacturing systemsCognitive, interactive, and standardization aspects of digital twins, and the proper implementation of digital twin technology for safety critical systems Digital Twins in Industrial Production and Smart Manufacturing is a must-have reference for researchers, scholars, and professionals in fields related to digital twins in industrial production and manufacturing. It is also suitable as a hands-on resource for students interested in the fields of digital twins and smart manufacturing.
List of Contributors
P. Abinaya
Rathinam College of Arts and Science
Coimbatore
India
Azween Abdullah
Faculty of Applied Science and Technology
Perdana University
Kuala Lumpur
Malaysia
B. Akoramurthy
Department of CSE
National Institute of Technology Puducherry
Karaikal
Tamil Nadu
India
K. Aravinda
New Horizon College of Engineering
Bellandur Post
Bengaluru
India
K. Arun Kumar
Rathinam College of Arts and Science
Coimbatore
India
V. Asha
New Horizon College of Engineering
Bellandur Post
Bengaluru
India
Balamurugan Balusamy
Shiv Nadar Institute of Eminence
Delhi
India
Ali Kashif Bashir
Manchester Metropolitan University
Manchester
UK
Subrata Chowdhury
Department of CSE
Sreenivasa Institute of Technology and Management Studies
Chittoor
Andhra Pradesh
India
Rajesh Kumar Dhanaraj
Symbiosis Institute of Computer Studies and Research (SICSR)
Symbiosis International (Deemed University)
Pune
India
V. Dhanashree
Department of Electronics and Instrumentation Engineering
Sri Sairam Engineering college
Chennai
Tamilnadu
India
Sumit Singh Dhanda
School of Computer Science & Engineering
IILM University
Greater Noida
UP
India
Jagjit Singh Dhatterwal
Department of Artificial Intelligence & Data Science
Koneru Lakshmaiah Education Foundation
Vaddeswaram
Andhra Pradesh
India
K. Dhivya
Department of CSE
National Institute of Technology Puducherry
Karaikal
Tamil Nadu
India
Ahmed A. Elngar
Faculty of Computers and Artificial Intelligence
Beni-Suef University
Beni-Suef City
Egypt
Eugene Berna
Department of Artificial Intelligence and Machine Learning
Bannari Amman Institute of Technology
Erode
Tamil Nadu
India
P. Ganeshkumar
Department of Computer Science
Al Imam Mohammad Ibn Saud Islamic University (IMSIU)
Riyadh
Saudi Arabia
R. Gayathri
Department of Electronics and Communication Engineering
Rajalakshmi Engineering College
Chennai
India
Erik Geslin
Faculty of Interactive Media – Games
CNAP Lab
Noroff University College
Kristiansand
Norway
S. Gnanavel
Department of Computing Technologies
SRM Institute of Science and Technology
Chennai
India
R. Gopal
Department of Computer Science and Engineering
University of Buraimi
Al Buraimi
Oman
G.S. Gopika
Department of CSE
Sathyabama Institute of Science and Technology
Chennai
India
Ramya Govindaraj
School of Computer Science Engineering and Information Systems (SCORE)
Vellore Institute of Technology
Vellore
Tamil Nadu
India
Simon Grima
University of Malta
Msida
Malta
Kariyappa Janani
Manipal institute of Technology
Manipal
India
J. Jeyalakshmi
Department of Computer Science and Engineering
Amrita School of Computing
Amrita Vishwa Vidhyapeetham
Chennai
India
S. Jeyalakshmi
Vels Institute of Science Technology & Advanced Studies
Chennai
India
Seifedine Kadry
Noroff University College
Kristiansand
Norway
Kuldeep Singh Kaswan
Department of Computer Science & Engineering
Galgotias University
Greater Noida
India
Rajendra Narasimman Karthika
Department of Information Technology
Saveetha Engineering College
Chennai
Tamil Nadu
India
Ponmurugan Karuppiah
King Saud University
Riyadh
Saudi Arabia
Balasubramanian P. Kavin
Department of Data Science and Business Systems
SRM Institute of Science and Technology
Kattankulathur
Chengalpattu
Tamil Nadu
India
Surbhi Bhatia Khan
Department of Data Science
School of Science
Engineering and Environment
University of Salford
Manchester
United Kingdom
Eashaan Manohar
Department of Computer Science and Engineering
Rajalakshmi Engineering College
Chennai
Tamil Nadu
India
Pravin Satyanarayan Metkewar
School of Computer Science and Engineering
Dr Vishwanath Karad MIT World Peace University
Kothrud
Pune
Maharashtra
India
Ramamoorthy Poorvadevi
Department of Computer Science and Engineering
Mahavidyalaya
Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya
Kancheepuram
India
A. Prasanth
Department of Computer Science and Engineering
Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology
Chennai
Tamil Nadu
India
Sheena Christabel Pravin
School of Electronics Engineering
VIT
Chennai
India
S. Prem Kumar
Rathinam College of Arts and Science
Coimbatore
India
R.S. Rajasree
Department of AI & ML
New Horizon College of Engineering
Bangalore
India
Sriramulu Ramamoorthy
Department of Computing Technologies
SRM Institute of Science and Technology
Kattankulathur Campus
Chennai
India
R. Ramya
SRM Institute of Science and Technology
Katankulathur
Tamil Nadu
India
B. Saiganesh
Department of Electronics and Communication Engineering
Rajalakshmi Engineering College
Chennai
Tamil Nadu
India
Diego Saldivar
Faculty of Interactive Media – Games
Noroff University College
Kristiansand
Norway
Prithi Samuel
Department of Computational Intelligence
School of Computing
SRM Institute of Science and Technology
Kattankulathur Campus
Chennai
India
J. Saranya
Department of Electronics and Communication Engineering
Rajalakshmi Engineering College
Chennai
India
V.S. Selvakumar
Department of Electronics and Communication Engineering
Rajalakshmi Engineering College
Chennai
India
Gan H. Seng
School of AI and Advanced Computing
XJTLU Entrepreneur College (Taicang)
Xi’an Jiaotong – Liverpool University
Suzhou
Jiangsu
P.R. China
Achyut Shankar
University of Warwick
Coventry
UK
M. Shanmugathai
Department of English
Sri Sairam Engineering College
Chennai
Tamilnadu
India
B. Shuriya
PPG Institute of Technology
Coimbatore
India
P. Sivaprakash
Rathinam College of Arts and Science
Coimbatore
India
M. Sree Krishna
Department of CSE
Sathyabama Institute of Science and Technology
Chennai
India
Gautam Srivastava
Department of Computer Science and Math
Lebanese American University
Beirut
Lebanon
S. Subha
Department of Electronics and Instrumentation Engineering
Sri Sairam Engineering College
Chennai
Tamilnadu
India
S. Suganthi
Department of Electronics and Communication Engineering
Rajalakshmi Engineering College
Chennai
India
B. Surendiran
Department of CSE
National Institute of Technology Puducherry
Karaikal
Tamil Nadu
India
S. Sree Varagi
Department of Electronics and Instrumentation Engineering
Sri Sairam Engineering...
| Erscheint lt. Verlag | 23.9.2024 |
|---|---|
| Sprache | englisch |
| Themenwelt | Technik ► Luft- / Raumfahrttechnik |
| Technik ► Maschinenbau | |
| ISBN-10 | 1-394-19532-X / 139419532X |
| ISBN-13 | 978-1-394-19532-9 / 9781394195329 |
| Haben Sie eine Frage zum Produkt? |
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