Digital Twins in Industrial Production and Smart Manufacturing
Wiley-IEEE Press (Verlag)
978-1-394-19530-5 (ISBN)
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.
About the Editors xxiii
List of Contributors xxvii
1 Journey to Digital Twin Technology in Industrial Production: Evolution, Challenges, and Trends 1
Prithi Samuel, Rajesh Kumar Dhanaraj, Balamurugan Balusamy, Ali Kashif Bashir, and Seifedine Kadry
2 The State-of-the-Art Digital Twin Components in Industrial IoT Production: Theoretical and Practical Applications 23
Kariyappa Janani, Sriramulu Ramamoorthy, Ramamoorthy Poorvadevi, and R. Gopal
3 Decision Support System for Digital Twin-based Smart Manufacturing Systems and Design in Industry 5.0 59
B. Akoramurthy, B. Surendiran, K. Dhivya, Subrata Chowdhury, Ramya Govindaraj, and Gautam Srivastava
4 Industrial Internet of Things: Enhancement of Industries with Hyperautomation for Smart Manufacturing Machines 85
G.S. Gopika, M. Sree Krishna, R.S. Rajasree, S. Gnanavel, and Achyut Shankar
5 Digital Twins Model of Industrial Production Control Management Using Deep Learning Techniques 103
Govindaraj Venkatesan, Rajendra Narasimman Karthika, and Ali Kashif Bashir
6 Digital Twin for Sustainable Development of Intelligent Manufacturing 125
Kuldeep Singh Kaswan, Jagjit Singh Dhatterwal, Sumit Singh Dhanda, Balamurugan Balusamy, and Azween Abdullah
7 Digital Twins in Flexible Industrial Production and Smart Manufacturing: Case Study on Intelligent Logistics and Supply Chain Management 161
S. Jeyalakshmi, A. Prasanth, M. Yogeshwari, and Ahmed A. Elngar
8 Applications and Use Cases of Digital Twins in Industry: 3D Graphics, Visualization, Modeling, Printing, and Reality Platforms 173
Suganthi Selvakumar, Saranya Jayaraman, Selvakumar Varadarajan Subramani, Sheena Christabel Pravin, Gayathri Radhakrishnan, and Ponmurugan Karuppiah
9 Cobots in Smart Manufacturing and Production for Industry 5.0 201
Jeyalakshmi Jeyabalan, Eugene Berna, Prithi Samuel, and Vikneswaran Vijean
10 Edge Computing and Artificial Intelligence-Based Internet of Things for Industry 5.0: Framework, Challenges, Use Cases, and Research Directions 221
Ramya Ramanathan, Sriramulu Ramamoorthy, and Simon Grima
11 Smart Manufacturing with a Digital Twin–Driven Cyber-physical System: Case Study and Application Scenario 247
P. Abinaya, S. Prem Kumar, P. Sivaprakash, K. Arun Kumar, B. Shuriya, and Surbhi Bhatia Khan
12 Industrial Excellence Through Virtual Factory Simulation and Digital Modeling Innovations for Next-Generation Manufacturing System Design 277
Pravin Satyanarayan Metkewar
13 Digital Transformation in the Pharmaceutical and Biotech Industry: Challenges and Research Directions 297
S. Subha, M. Shanmugathai, A. Prasanth, S. Sree Varagi, and V. Dhanashree
14 Overcoming the Obstacles of Motion Sickness in the Metaverse’s Digital Twins 325
Erik Geslin and Diego Saldivar
15 Smart Cities Using Digital Twins and Industrial IoT Based Technologies: Tools and Products from the Industry Sector 353
Aravinda Koithyar, Asha Venkataramana, Balasubramanian Prabhu Kavin, and Gan Hong Seng
16 Digital Twin in Aerospace Industry and Aerospace Transformation Through Industry 4.0 Technologies 381
Vijay Kandasamy, Eashaan Manohar, Saiganesh Bhaskar, and Ganeshkumar Perumal
Index 405
| Erscheinungsdatum | 27.09.2024 |
|---|---|
| Sprache | englisch |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Technik ► Maschinenbau | |
| ISBN-10 | 1-394-19530-3 / 1394195303 |
| ISBN-13 | 978-1-394-19530-5 / 9781394195305 |
| Zustand | Neuware |
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