{"product_id":"digital-twins-in-industrial-production-and-smart-manufacturing-isbn-9781394195305","title":"Digital Twins in Industrial Production and Smart Manufacturing","description":"\u003cp\u003e\u003cb\u003eComprehensive reference exploring the benefits and implementation of digital twins in industrial production and manufacturing\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003ci\u003eDigital Twins in Industrial Production and Smart Manufacturing\u003c\/i\u003e 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. \u003c\/p\u003e\u003cp\u003eThe 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. \u003c\/p\u003e\u003cp\u003eEdited by a group of highly qualified academics with significant experience in the field, \u003ci\u003eDigital Twins in Industrial Production and Smart Manufacturing \u003c\/i\u003ecovers additional topics such as: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eHyper-automation technology, including specialized workflow procedures and particular sectors of solicitations linked to hyper-automation\u003c\/li\u003e\n\u003cli\u003eDigital twins in the context of smart cities, with attempts to draw comparisons with the use of digital twins in industrial IoT\u003c\/li\u003e\n\u003cli\u003eVirtual factories based on digital twins and corresponding architecture to facilitate modeling, simulation, and assessment of manufacturing systems\u003c\/li\u003e\n\u003cli\u003eCognitive, interactive, and standardization aspects of digital twins, and the proper implementation of digital twin technology for safety critical systems\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003e\u003ci\u003eDigital Twins in Industrial Production and Smart Manufacturing\u003c\/i\u003e 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. \u003c\/p\u003e\u003cp\u003eAbout the Editors xxiii\u003c\/p\u003e \u003cp\u003eList of Contributors xxvii\u003c\/p\u003e \u003cp\u003e1 Journey to Digital Twin Technology in Industrial Production: Evolution, Challenges, and Trends 1\u003cbr\u003e \u003ci\u003ePrithi Samuel, Rajesh Kumar Dhanaraj, Balamurugan Balusamy, Ali Kashif Bashir, and Seifedine Kadry\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e2 The State-of-the-Art Digital Twin Components in Industrial IoT Production: Theoretical and Practical Applications 23\u003cbr\u003e \u003ci\u003eKariyappa Janani, Sriramulu Ramamoorthy, Ramamoorthy Poorvadevi, and R. Gopal\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e3 Decision Support System for Digital Twin-based Smart Manufacturing Systems and Design in Industry 5.0 59\u003cbr\u003e \u003ci\u003eB. Akoramurthy, B. Surendiran, K. Dhivya, Subrata Chowdhury, Ramya Govindaraj, and Gautam Srivastava\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e4 Industrial Internet of Things: Enhancement of Industries with Hyperautomation for Smart Manufacturing Machines 85\u003cbr\u003e \u003ci\u003eG.S. Gopika, M. Sree Krishna, R.S. Rajasree, S. Gnanavel, and Achyut Shankar\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e5 Digital Twins Model of Industrial Production Control Management Using Deep Learning Techniques 103\u003cbr\u003e \u003ci\u003eGovindaraj Venkatesan, Rajendra Narasimman Karthika, and Ali Kashif Bashir\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e6 Digital Twin for Sustainable Development of Intelligent Manufacturing 125\u003cbr\u003e \u003ci\u003eKuldeep Singh Kaswan, Jagjit Singh Dhatterwal, Sumit Singh Dhanda, Balamurugan Balusamy, and Azween Abdullah\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e7 Digital Twins in Flexible Industrial Production and Smart Manufacturing: Case Study on Intelligent Logistics and Supply Chain Management 161\u003cbr\u003e \u003ci\u003eS. Jeyalakshmi, A. Prasanth, M. Yogeshwari, and Ahmed A. Elngar\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e8 Applications and Use Cases of Digital Twins in Industry: 3D Graphics, Visualization, Modeling, Printing, and Reality Platforms 173\u003cbr\u003e \u003ci\u003eSuganthi Selvakumar, Saranya Jayaraman, Selvakumar Varadarajan Subramani, Sheena Christabel Pravin, Gayathri Radhakrishnan, and Ponmurugan Karuppiah\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e9 Cobots in Smart Manufacturing and Production for Industry 5.0 201\u003cbr\u003e \u003ci\u003eJeyalakshmi Jeyabalan, Eugene Berna, Prithi Samuel, and Vikneswaran Vijean\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e10 Edge Computing and Artificial Intelligence-Based Internet of Things for Industry 5.0: Framework, Challenges, Use Cases, and Research Directions 221\u003cbr\u003e \u003ci\u003eRamya Ramanathan, Sriramulu Ramamoorthy, and Simon Grima\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e11 Smart Manufacturing with a Digital Twin–Driven Cyber-physical System: Case Study and Application Scenario 247\u003cbr\u003e \u003ci\u003eP. Abinaya, S. Prem Kumar, P. Sivaprakash, K. Arun Kumar, B. Shuriya, and Surbhi Bhatia Khan\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e12 Industrial Excellence Through Virtual Factory Simulation and Digital Modeling Innovations for Next-Generation Manufacturing System Design 277\u003cbr\u003e \u003ci\u003ePravin Satyanarayan Metkewar\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e13 Digital Transformation in the Pharmaceutical and Biotech Industry: Challenges and Research Directions 297\u003cbr\u003e \u003ci\u003eS. Subha, M. Shanmugathai, A. Prasanth, S. Sree Varagi, and V. Dhanashree\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e14 Overcoming the Obstacles of Motion Sickness in the Metaverse’s Digital Twins 325\u003cbr\u003e \u003ci\u003eErik Geslin and Diego Saldivar\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e15 Smart Cities Using Digital Twins and Industrial IoT Based Technologies: Tools and Products from the Industry Sector 353\u003cbr\u003e \u003ci\u003eAravinda Koithyar, Asha Venkataramana, Balasubramanian Prabhu Kavin, and Gan Hong Seng\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e16 Digital Twin in Aerospace Industry and Aerospace Transformation Through Industry 4.0 Technologies 381\u003cbr\u003e \u003ci\u003eVijay Kandasamy, Eashaan Manohar, Saiganesh Bhaskar, and Ganeshkumar Perumal\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eIndex 405\u003c\/p\u003e  \u003cp\u003e\u003cb\u003eRajesh Kumar Dhanaraj,\u003c\/b\u003e PhD, is a Full Professor at Symbiosis International (Deemed University), Pune, India. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eBalamurugan Balusamy,\u003c\/b\u003e PhD, is an Associate Dean Student in Shiv Nadar University, Delhi-NCR. \u003c\/p\u003e\u003cp\u003e\u003cb\u003ePrithi Samuel,\u003c\/b\u003e PhD, is an Assistant Professor in the Department of Computational Intelligence at SRM Institute of Science and Technology, Kattankulathur Campus, Chennai. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eAli Kashif Bashir,\u003c\/b\u003e PhD, is a Chair Professor of Networks and Security at the Manchester Metropolitan University, UK. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eSeifedine Kadry,\u003c\/b\u003e 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.   \u003c\/p\u003e\u003cp\u003e\u003cb\u003eComprehensive reference exploring the benefits and implementation of digital twins in industrial production and manufacturing\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003ci\u003eDigital Twins in Industrial Production and Smart Manufacturing\u003c\/i\u003e 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. \u003c\/p\u003e\u003cp\u003eThe 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. \u003c\/p\u003e\u003cp\u003eEdited by a group of highly qualified academics with significant experience in the field, \u003ci\u003eDigital Twins in Industrial Production and Smart Manufacturing \u003c\/i\u003ecovers additional topics such as: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eHyper-automation technology, including specialized workflow procedures and particular sectors of solicitations linked to hyper-automation\u003c\/li\u003e\n\u003cli\u003eDigital twins in the context of smart cities, with attempts to draw comparisons with the use of digital twins in industrial IoT\u003c\/li\u003e\n\u003cli\u003eVirtual factories based on digital twins and corresponding architecture to facilitate modeling, simulation, and assessment of manufacturing systems\u003c\/li\u003e\n\u003cli\u003eCognitive, interactive, and standardization aspects of digital twins, and the proper implementation of digital twin technology for safety critical systems\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003e\u003ci\u003eDigital Twins in Industrial Production and Smart Manufacturing\u003c\/i\u003e 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.\u003c\/p\u003e","brand":"Wiley-IEEE Press","offers":[{"title":"Default Title","offer_id":47989070037221,"sku":"NP9781394195305","price":125.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9781394195305.jpg?v=1761782670","url":"https:\/\/k12savings.com\/products\/digital-twins-in-industrial-production-and-smart-manufacturing-isbn-9781394195305","provider":"K12savings","version":"1.0","type":"link"}