Toward Real-Time Data Analytics Application for Industry 4.0

27May

Toward Real-Time Data Analytics Application for Industry 4.0

by Prof. Dr. Aleksandar Rikalovic R&D

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.

New technologies discover hidden information in the raw production data, this way enabling prediction and prevention of errors that could occur in production systems. 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 paper Towards Real-Time Data Analytics Application for Industry 4.0 published in Proceedings on 18th International Conference on Industrial Systems – IS’20 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.