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. The predictive production systems are new type of intelligent production systems that enable the implementation of new technologies for discovering hidden information in the raw production data, this way enabling prediction and prevention of errors that could occur in production. The discovery of hidden information in the raw data is enabled by the real-time predictive data analytics on the basis of which the real-time decision making models are applied in the production system. The present study proposes a conceptual framework for real-time data analytics for Industry 4.0. The framework is developed based on the analysis of the available literature and informed with direct experience in implementing Industry 4.0 technologies in practice.