Engineering of data-driven Service Systems for Smart Living: Application and ChallengesHenrik Kortum-Landwehr; Laura Gravemeier; Novica Zarvic; Thomas Feld; Oliver Thomas
In: Bojan Lalic; Vidosav Majstorovic; Ugljesa Marjanovic; Gregor von Cieminski; David Romero (Hrsg.). Advances in Production Management Systems. Towards Smart and Digital Manufacturing. IFIP Advances in Production Management Systems (APMS-2020), Advances in Production Management Systems. Towards Smart and Digital Manufacturing, August 30 - September 3, Novi Sad, Serbia, Springer, 2020.
Service systems in the smart living domain integrate a multitude of heterogenous data sources and affect the most private area of human lives. Therefore, particular challenges for service systems engineering arise in terms of interoperability of Internet-of-Things (IoT)-devices, privacy concerns and creating truly smart value propositions. By applying a promising approach, this paper examines smart service systems engineering and reveals the potential for extensions and adaptations of existing methods. A need for the integration of data science and software engineering approaches as well as a focus on acceptance, usability and the business perspective within a holistic smart service systems engineering method is discussed. This enables smart service systems to reconcile their human-centered and data-driven qualities.