All over the world, vast research is in progress on the domain of Industry 4.0 and related techniques. Industry 4.0 is expected to have a very high impact on labor markets, global value chains, education, health, environment, and many social economic aspects.





Industry 4.0 Interoperability, Analytics, Security, and Case Studies provides a deeper understanding of the drivers and enablers of Industry 4.0. It includes real case studies of various applications related to different fields, such as cyber physical systems (CPS), Internet of Things (IoT), cloud computing, machine learning, virtualization, decentralization, blockchain, fog computing, and many other related areas. Also discussed are interoperability, design, and implementation challenges.





Researchers, academicians, and those working in industry around the globe will find this book of interest.





FEATURES











Provides an understanding of the drivers and enablers of Industry 4.0







Includes real case studies of various applications for different fields







Discusses technologies such as cyber physical systems (CPS), Internet of Things (IoT), cloud computing, machine learning, virtualization, decentralization, blockchain, fog computing, and many other related areas







Covers design, implementation challenges, and interoperability







Offers detailed knowledge on Industry 4.0 and its underlying technologies, research challenges, solutions, and case studies