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Talks and Poster Presentations (with Proceedings-Entry):

L. Kathrein, A. Lüder, K. Meixner, D. Winkler, S. Biffl:
"Product/ion-Aware Analysis of Multi-Disciplinary Systems Engineering Processes";
Talk: 21st International Conference on Enterprise Information System, ICEIS 2019, Heraklion, Greece; 2019-05-03 - 2019-05-05; in: "Proceedings of the 21st International Conference on Enterprise Information Systems", SciTePress, (2019), ISBN: 978-989-758-372-8; 48 - 60.



English abstract:
The Industry 4.0 vision of flexible manufacturing systems depends on the collaboration of domain experts
coming from a variety of engineering disciplines and on the explicit representation of knowledge on relationships between products and production systems (PPR knowledge). However, in multi-disciplinary systems
engineering organizations, process analysis and improvement has traditionally focused on one specific discipline rather than on the collaboration of several workgroups and their exchange of knowledge on product/ion,
i.e., product and production processes. In this paper, we investigate requirements for the product/ion-aware
analysis of engineering processes to improve the engineering process across workgroups. We introduce a
product/ion-aware engineering processes analysis (PPR EPA) method, to identify gaps in PPR knowledge
needed and provided. For representing PPR knowledge, we introduce a product/ion-aware data processing
map (PPR DPM) by extending the BPMN 2.0 standard, adding PPR knowledge classification. We evaluate
the contribution in a case study at a large production systems engineering company. The domain experts found
the PPR EPA method using the PPR DPM usable and useful to trace design decisions in the engineering
process as foundation for advanced quality assurance analyses.

Keywords:
Production Systems Engineering, Product-Process-Resource (PPR) Relationships, Engineering Process Analysis, Engineering Knowledge Representation


"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)
http://dx.doi.org/10.5220/0007618000480060


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