More than ever, companies are pursuing the goal of displaying their production in a digital twin. This allows problems in production to be clarified and process difficulties to be made visible. The goal is usually achieved via machine or process data. The machine data describes data that is collected around the machine, whereas the process data strongly refers to the quality of the process and the resulting outcome. In order to generate added value for the user, it is necessary to draw correlations between data and criteria that are important for the customer, such as the quality and accuracy of the components to be manufactured.
In this context, it is shown to what extent the process data are interrelated with the component data.
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