Biffl, S., Lüder, A., & Winkler, D. (2016). Multi-Disciplinary Engineering for Industrie 4.0: Semantic Challenges and Needs. In S. Biffl & R. M. Sabou (Eds.), Semantic Web Technologies for Intelligent Engineering Applications (pp. 17–51). Springer International Publishing Switzerland. https://doi.org/10.1007/978-3-319-41490-4_2
Engineering process ⋅; Systems engineering ⋅; Cyber-Physical production systems ⋅; Semantic Web ⋅; Data integration
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Abstract:
This chapter introduces key concepts of the Industrie 4.0 vision,
focusing on variability issues in traditional and cyber-physical production systems
(CPPS) and their engineering processes. Four usage scenarios illustrate key challenges
of system engineers and managers in the transition from traditional to CPPS
engineering environments. We derive needs for semantic support from the usage
scenarios as a foundation for evaluating solution approaches and discuss Semantic
Web capabilities to address the identified multidisciplinary engineering needs. We
compare the strengths and limitations of Semantic Web capabilities to alternative
solution approaches in practice. Semantic Web technologies seem to be a very good
match for addressing the aspects of heterogeneity in engineering due to their
capability to integrate data intelligently and flexibly on a large scale. Engineers and
managers from engineering domains can use the scenarios to select and adopt
appropriate Semantic Web solutions in their own settings.
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Research Areas:
Business Informatics: 50% Distributed and Parallel Systems: 50%
