Contributions to Books:

L. Kathrein, A. Lüder, K. Meixner, D. Winkler, S. Biffl:
"Product/ion-Aware Analysis of Collaborative Systems Engineering Processes";
in: "Security and Quality in Cyber-Physical Systems Engineering", Springer International Publishing, Switzerland, 2019, ISBN: 978-3-030-25311-0.

English abstract:
Flexible manufacturing systems, a vision of Industrie 4.0, depend on the
collaboration of domain experts coming from different engineering disciplines.
These experts often depend on interdisciplinary results from previous engineering
phases and require an explicit representation of knowledge on relationships between
products and production systems. However, production systems engineering organizations tend to focus mostly on optimizing individual disciplines rather than on
improving the collaboration between workgroups. In this chapter, we investigate
requirements for the product/ion (i.e., product and production process) aware analysis of engineering processes to improve the engineering process across
workgroups. We, therefore, consider the following three aspects: (1) engineering
process analysis methods; (2) artifact and data modeling approaches from business
informatics and from production systems engineering; and (3) persistent representation of product/ion-aware engineering knowledge and data. We extend existing
work on business process analysis methods and BPMN 2.0 to address their limited
capabilities for product/ion-aware process analysis. We evaluate the resulting contributions in a case study with domain experts from a large production system engineering company. We conclude that improved product/ion-aware knowledge representation facilitates traceable design decisions as foundation for better quality
assurance in the engineering process.

Production systems engineering, Product-production process-production resource (PPR) relationships, Engineering process analysis, Engineering knowledge representation, PPR knowledge persistence requirements

"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)

Created from the Publication Database of the Vienna University of Technology.