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Yevgeni Paliyenko; Sean Ryan Mueller; Daniel Roth; Matthias Kreimeyer

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Abstract:

In the current industrial landscape, the growing integration of digital technologies and interconnectivity have been instrumental in reshaping business paradigms. Central to this transformation are data-driven business models that leverage data to create value. Particularly impactful are smart Product-Service Systems (sPSS), which embody the convergence of smart products and digital services into cohesive solutions that meet specific customer demands. This paper introduces a data-centric architecture model for sPSS that is constructed around building blocks representing essential system entities. This model facilitates the detailed mapping and management of data and information flows among these components. It delineates specific data needs necessary for the effective performance and ongoing evolution of sPSS as well as laying the groundwork for the inception of new functionalities or services by revealing comprehensive data and information resources. Thus, the model supports the value-oriented development of sPSS by focusing on the data needs essential for system performance.

Keywords:

smart Product-Service-Systems, data-driven design, systems engineering, architecture model, development