|Odefey, Ulrich; Baumann, Felix; Grünert, Gerd; Hudert, Sebastian; Zimmermann, Michael; Falkenthal, Michael; Leymann, Frank: Manufacturing Smart Services for automotive production lines. |
In: Bargende, Michael (Hrsg); Reuss, Hans-Christian (Hrsg); Wiedemann, Jochen (Hrsg): 18. Internationales Stuttgarter Symposium.
Universität Stuttgart, Fakultät Informatik, Elektrotechnik und Informationstechnik.
S. 813-825, englisch.
Springer Fachmedien, Mai 2018.
Artikel in Tagungsband (Konferenz-Beitrag).
The intelligent exploitation of sensor data and order parameters from modern production systems is one of the biggest challenges in the context of Industry4.0. Currently, data from single machines are processed individually and not integrated with upstream or downstream processes. This case is prevalent in automotive assembly lines. Here, numerous machining tools from different vendors prohibit a smooth collaboration. However, only the aggregation of the entirety of available data sources permits a comprehensive and intelligent analysis and optimization of production lines. This approach leads to the regulation and behavior prediction of single components and finally of whole production systems. Such an intelligent assessment can be realized by Smart Services which are self-contained application containers allowing for efficient data analytics in modern production lines. The SePiA.Pro project develops and investigates a self-describing and secure packaging format for Smart Services facilitating their automatic provisioning. The project implements an open, standard- and cloud-based platform consisting of a modelling environment for Smart Services; a repository for the exchange of Smart Services; and a provisioning engine for automated deployment of Smart Services. Said platform opens up modern data analytics capabilities for anyone, as both customers and suppliers of analytics services. Use cases from automotive manufacturing demonstrate the value of the developed solution.