The added value of long-living assets declines during their lifespan, especially if they do not undergo regular planningintensive maintenance and retrofits. Here, the Digital Twin (DT) concept can support by representing the physical asset's most recent state, typically based on data and information from product creation. However, in the depicted domain, the stakeholders of the product's Mid-of-Life often do not have access to the early phases. Therefore, as often presented in current concepts, creating a holistic Digital Twin is not feasible. Instead, in the Mid-Life phase of long-living assets, only a usecase-specific and demand-actuated Digital Twin is attainable. This instantiation requires a solid procedure, which will be elaborated on in this work.

No abstract

No abstract

No abstract