A Knowledge - Augmented Socio-Technical Assistance System for Product Engineering

Manufacturing companies are exposed to increasingly complex products and shorter product engineering cycles. Unstructured data hinders the integration of knowledge over the different product engineering stages and complicates structured product development. However, combining an integrated view on r...

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Bibliographic Details
Published in2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA) pp. 1 - 8
Main Authors Mittel, Dominik, Hubert, Andreas, Srinivasan, Uppili, Perzylo, Alexander, Lemberger, Daniel
Format Conference Proceeding
LanguageEnglish
Published IEEE 10.09.2024
Subjects
Assembly
Computer vision
Knowledge based systems
Knowledge engineering
Ontology
Product design
Product development
Reliability
Semantic Technologies
Semantic technology
Socio-Technical Systems
Soft sensors
Trajectory
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Summary:Manufacturing companies are exposed to increasingly complex products and shorter product engineering cycles. Unstructured data hinders the integration of knowledge over the different product engineering stages and complicates structured product development. However, combining an integrated view on relevant data sources following the Advanced Product Quality Planning (APQP) approach provides guidance for product engineers. In this paper, a semantic Knowledge Base (KB), a Process Execution System (PES), and a Computer Vision System (CVS) are introduced, which, in their interaction, compose a Socio-Technical Assistance System (STAS). We combine semantic models of production knowledge, APQP-guided product development, and ontology-based geometric representations of products and manufacturing resources. The PES coordinates the interaction with the user and other system components. The CVS tracks used tools and parts during the assembly and, therefore, enables traceability features and creates confidence in the quality of the assembly. As a result, the developed STAS prototype offers support from customer inquiry through product design and development to manufacturing and assembly, as well as after-sales support. The assistance system enables handling of complex products efficiently in order to reduce required times and costs.
ISSN:1946-0759
DOI:10.1109/ETFA61755.2024.10710644