|Bibliography||Falkenthal, Michael; Baumann, Felix W.; Grünert, Gerd; Hudert, Sebastian; Leymann, Frank; Zimmermann, Michael: Requirements and Enforcement Points for Policies in Industrial Data Sharing Scenarios. |
In: Proceedings of the 11th Advanced Summer School on Service Oriented Computing.
University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology.
pp. 28-40, english.
IBM Research Division, November 2017.
Article in Proceedings (Conference Paper).
|CR-Schema||K.6 (Management of Computing and Information Systems)|
D.2.13 (Software Engineering Reusable Software)
|Keywords||Requirements; Policies; Data Aggregation; Industrial Data; Data Integration; Industry 4.0|
Industry 4.0 endeavors often integrate and analyze a multitude of data, such as data about machinery, production steps, and environmental conditions, in order to optimize manufacturing processes. Thereby, they aim to reveal information hidden in formerly isolated data silos via holistic analytics approaches. However, the integration of such data silos is often accompanied by challenges according legal regulations, organizational obstructions, and technical implementations, among others. Therefore, in this work we present a list of key challenges, which have to be commonly overcome in integration projects dealing with essential data from production processes. They can be used as a check list to address recurring challenges in future Industry 4.0 projects. Finally, we identify several plug-points in an abstract integration architecture, which have to be considered in concrete projects at hand to enforced the requirements.
|Department(s)||University of Stuttgart, Institute of Architecture of Application Systems|
|Entry date||November 30, 2017|