Archives May 2022

Real-time data analytics

Toward Real-Time Data Analytics Application for Industry 4.0

The Industry 4.0 is moving the production towards smart production systems, based on new technologies (i.e. Internet of Things, Cyber-Physical Systems, Cloud Computing, Big Data and Artificial Intelligence). Companies rightfully have high expectations of Industry 4.0. However, one of the major obstacles is how to transform reactive, via proactive, to predictive production systems via data analytics application. The predictive production systems are new type of intelligent production systems enable the implementation of new technologies. 

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Industry 4.0 Implementation Challenges and Opportunities: A Technological Perspective

During the last decade, we have witnessed steady movement of industry and academia toward Industry 4.0. Industry 4.0 is a concept aimed at achieving the integration of physical and cybernetic parts of the manufacturing process via networks and driven by Industry 4.0 technology categories used for the prediction, control, maintenance, and integration of manufacturing processes (i.e., cyberphysical systems, Internet of Things, big data analytics, cloud computing, fog and edge computing, augmented and virtual reality, robotics, cybersecurity, semantic web technologies, and additive manufacturing). However, the research on implementing Industry 4.0 is lagging behind. 

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