Abstract
With the onset of Industry 4.0 several technological possibilities are offered in industry such as big data analytics, digital twin and augmented reality. The result is a more digitalised industry where faster and better decisions are possible. In long term this should provide a more reliable production with increased plant capacity and reduced downtime. To succeed with these possibilities a Cyber Physical Systems (CPS) must be established for the company. Currently, an own framework for CPS is under development and is expected to be tailored for Norwegian manufacturing. When building on the principle in Industry 4.0, big data capability with machine learning will be a fundamental model. Nevertheless, Industry 4.0 should also include other models for big data capability such as reliability modelling. The aim in this article is to present the current status of CPS framework and how it could be implemented in manufacturing industries. In particular, the article discusses and demonstrates the balance between machine learning and reliability engineering in big data analytics.