The rise of new digital Industrial technology popularly known as Industry 4.0 is evolving at an exponential pace and disrupting almost every industry in every country. This is a new Industrial Revolution that enables smart, connected and disruptive technologies to transform and digitize organizations, operations, and the workforce by increasing information flow, creating new insights and entirely different business models. These changes are signaling the trend and transformation towards fully connected and automated entire systems of production, management, and governance. Organizations have started realizing this change and focusing upon how Industry 4.0 could impact their business. Many are implementing changes and preparing for the future where smart machines are empowering their business. Industry 4.0 represents the so-called Fourth Industrial Revolution in discrete and process manufacturing, logistics and supply chain (Logistics 4.0), the chemical industry, energy (Energy 4.0), transportation, utilities, oil and gas, mining and metals and other segments, including resources industries, healthcare, pharmaceuticals and Smart Cities. Industry 4.0: Managing Digital Transformation Using Disruptive Technologies is the first book to discuss the trends of Industry 4.0 along with a deep technological look at the methods that are effectuating the change, including robotics, augmented reality, IoT, and Artificial Intelligence on value chain support and optimization. This book provides a comprehensive overview of Industry 4.0 starting from the basic definition and current technologies, and encompassing business models that can and will come in play with Industry 4.0 adoption.
- Provides readers with understanding of the key concepts and technologies involved in bringing the new industrial revolution called Industry 4.0 to bear across a wide variety of fields
- Integrates deep technical coverage of key methods and technologies such as Artificial Intelligence, Augmented Reality, Virtual Reality, Robotics, Mechatronics, Big Data, Cloud computing, Fog computing, Cyberphysical systems, Deep Learning, Internet of Things, Simulation, 3-D Printing, and Blockchain
- Provides readers with four key parts of the book, covering Introductory Concepts of Industry 4.0, Applications/Frameworks of Industry 4.0 on Different Business Domains, Issues/Challenges Faced by Organizations in Implementation, and Case Studies
Weitere Infos & Material
1. Blockchain-based behavioural analytics at the Edge - An application for Industry 4.0 2. Authenticated and Transparent Automobile Enrollment using Block Chain: An IoT Enabled Application for Future Smart Cities with Sustainable Approach 3. Autonomous Robot 4. Towards the Blockchain-Enabled Interleaving for Next-Generation Communications 5. The Journey from Data warehouse to Data Lake 6. IOT based smart devices and its implication on the future direction of data 7. Additive Manufacturing (3D printing): Advancement and Challenges in Civil Infrastructures 8. Innovation Trends in 5G: it's Energy Efficiency Aspects 9. Conceptual Design, Theoretical Calculations, Computational Analyses of an advanced Tricopter for Agriculture applications 10. Racing Towards Industry 4.0: Emerging Issues and Challenges 11. Digitalized Motor Insurance Claims Processing and Settlement 12. Design and Implementation of Secure Location Service using Software Engineering Approach in the Age of Industry 4.0 13. Classification of Epileptic seizure using Machine learning and Deep Learning based on EEG Signal 14. Agriculture 4.0: Empowering the Indian Farming community for Food Sustainability 15. Industry 4.0 in Manufacturing. a renaissance 16. Industry 4.0 Challenges and Applications in Healthcare Industry with Emerging Technologies 17. A supplier selection model in a humanitarian relief supply chain management using BWM-CoCoSo methods
Gaur, Loveleen
Dr. Loveleen Gaur, Research Head and Faculty, Amity International Business School, Amity University, Noida,
India. Dr. Gaur is an established author, researcher, teacher, educator, consultant, administrator and program leader.
She has filed two patents in the area of Internet of Things. Before Amity University, Dr. Gaur has worked as faculty
and has done research work at the University of Maryland, USA. She is actively involved in teaching Information
Systems, Research Methodology, Data Analytics and software tools such as SPSS, R, and Excel to Post Graduate
Students. She has specialized in the fields of Information Sciences, IoT, Data Analytics, E-commerce, Data Mining,
and Business Intelligence. Dr. Gaur is the editor of Internet of Things: Approach and Applicability in Manufacturing
from CRC Press, and Handbook of Research on Engineering Innovations and Technology Management in
Organizations from IGI Global.
Solanki, Arun
Dr. Arun Solanki is Assistant Professor in the Department of Computer Science and Engineering, Gautam Buddha University, Greater Noida, India. He received his Ph.D. in Computer Science and Engineering from Gautam Buddha University. He has supervised more than 60 M.Tech. Dissertations under his guidance. His research interests span Expert System, Machine Learning, and Search Engines. Dr. Solanki is an Associate Editor of the
International Journal of Web-Based Learning and Teaching Technologies from IGI Global. He has been a Guest Editor for special issues of Recent Patents on Computer Science, from Bentham Science Publishers. Dr. Solanki is the editor of the books Green Building Management and Smart Automation and Handbook of Emerging Trends and Applications of Machine Learning, both from IGI Global.
