Abstract
The growing relevance of Industry 4.0-related technologies and the transformation toward service-oriented business models in manufacturing requires relevant, high-qualitative data. The digital representation of operation and manufacturing under a specific purpose is called a digital shadow (DS). Although this purpose represents the decisive factor between different digital shadows, its systematic determination has been addressed insufficiently. Therefore, this paper presents a systematic, purpose-driven modeling approach for the digital shadow supporting manufacturing companies in developing a data basis for applications. This approach is applied to a crimping machine as an example and will be optimized in future evaluations.
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