Abstract
Complex technical systems, industrial systems or infrastructure systems are rich of customizable features and raise high demands on quality and safety-critical aspects. To create complete, valid and reliable planning and customization process data for a product deployment, an overarching engineering process is crucial for the successful completion of a project. In this paper, we introduce a framework for process management in complex engineering projects which are subject to a large amount of constraints and make use of heterogeneous data sources. In addition, we propose solutions for the framework components and describe a proof-of-concept implementation of the framework as an extension of a well-known BPMS.
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | Data-Driven Process Discovery and Analysis |
| Untertitel des Sammelwerks | 5th IFIP WG 2.6 International Symposium, SIMPDA 2015, Vienna, Austria, December 9-11, 2015, Revised Selected Papers |
| Herausgeber*innen | Ceravolo P., Rinderle-Ma S. |
| Erscheinungsort | Cham |
| Verlag | Springer Nature |
| Seiten | 1 - 27 |
| Publikationsstatus | Veröffentlicht - 2015 |
Österreichische Systematik der Wissenschaftszweige (ÖFOS)
- 102022 Softwareentwicklung
- 102
- 102015 Informationssysteme
- 502050 Wirtschaftsinformatik
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