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.
| Original language | English |
|---|---|
| Title of host publication | Data-Driven Process Discovery and Analysis |
| Subtitle of host publication | 5th IFIP WG 2.6 International Symposium, SIMPDA 2015, Vienna, Austria, December 9-11, 2015, Revised Selected Papers |
| Editors | Ceravolo P., Rinderle-Ma S. |
| Place of Publication | Cham |
| Publisher | Springer Nature |
| Pages | 1 - 27 |
| Publication status | Published - 2015 |
Austrian Classification of Fields of Science and Technology (ÖFOS)
- 102022 Software development
- 102
- 102015 Information systems
- 502050 Business informatics
Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver