Abstract
The increasing industrial relevance of connected smart product systems, enhanced individualized customer requirements, regulatory boundary conditions as well as advanced value networks and volatile international markets determine a new level of engineering complexity. Current engineering processes are enabled by a large number of IT applications, which are partially orchestrated by product lifecycle management solutions. Considering the dramatically increasing complexity, the IT applications are often not adequately connected as a whole, leading to interruptions in the process chains and finally resulting in quality problems, time expenditure, and additional costs.
To support seamless engineering processes, a sufficiently linked information system structure is necessary. Due to the often-existing best-of-breed solutions and historically grown IT infrastructures, the direct point-to-point coupling of IT systems among each other requires disproportionately high efforts. As an approach to improve the existing situation, integration platforms utilizing loose coupling of individual heterogeneous engineering IT applications by semantic web technologies could be used to create a comprehensive, linked engineering data structure.
This paper presents a conceptual IT-Service approach that utilizes this linked data structure to address problems in the area of information retrieval, data exchange, and data quality. A fundamental service function enables easy access to the information scattered throughout the whole organization. This approach could contribute to a high level of transparency within the company’s internal processes and relationships between data across individual engineering IT applications. The proposed concepts for IT platform services facilitate the exchange of data between different software applications and the standardized checking and documentation of data quality.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Abramovici, M., Herzog, O. (eds.): Engineering im Umfeld von Industrie 4.0. Einschätzungen und Handlungsbedarf. Acatech Studie. Herbert Utz Verlag GmbH; acatech, München (2016)
Bruno, G., Villa, A.: The exploitation of an ontology-based model of PLM from a SME point of view. IFAC Proc. Vol. (2013). https://doi.org/10.3182/20130619-3-RU-3018.00141
Eickhoff, T., Eiden, A., Göbel, J.C., Eigner, M.: A metadata repository for semantic product lifecycle management. Procedia CIRP 91, 249–254 (2020)
Acél, P.P.: Methode zur Durchführung betrieblicher Simulationen: effiziente Optimierung der diskreten Simulation, ETH Zurich (1996)
Zeller, P.: Handbuch Fahrzeugakustik. Grundlagen, Auslegung, Berechnung, Versuch, 2nd edn. ATZ/MTZ-Fachbuch. Springer, Wiesbaden (2012). https://doi.org/10.1007/978-3-8348-8657-6
Ruschmeyer, S.: Herausforderungen bei der NVH-Entwicklung von Hybrid- und Elektrofahrzeugen. In: Möser, M., Schulte-Fortkamp, B., Ochmann, M. (eds.) Fortschritte der Akustik. 36. Deutsche Jahrestagung für Akustik, 15. bis 18. März 2010 in Berlin, pp. 319–320. Deutsche Gesellschaft für Akustik e.V, Berlin (2010)
Graf, B., Brandl, S., Rust, A.: Vehicle NVH optimization by interdisciplinary drivetrain development. ATZextra Worldw (2016). https://doi.org/10.1007/s40111-016-0011-3
Robinson, M.A.: An empirical analysis of engineers’ information behaviors. J. Am. Soc. Inf. Sci. (2010). https://doi.org/10.1002/asi.21290
Skoogh, A., Perera, T., Johansson, B.: Input data management in simulation – industrial practices and future trends. Simul. Model. Pract. Theory (2012). https://doi.org/10.1016/j.simpat.2012.07.009
Zimmer, M.: Durchgängiger Simulationsprozess zur Effizienzsteigerung und Reifegraderhöhung von Konzeptbewertungen in der Frühen Phase der Produktentstehung. Springer, Wiesbaden (2015). https://doi.org/10.1007/978-3-658-11500-5
Lentes, J., Eckstein, H., Zimmermann, N.: A platform to integrate manufacturing engineering and product lifecycle management. IFAC Proc. Vol. (2012). https://doi.org/10.3182/20120523-3-RO-2023.00425
Schuh, G., Dölle, C., Schmitz, S., Koch, J., Höding, M., Menges, A.: Data-based determination of the product-oriented complexity degree. Procedia CIRP (2018). https://doi.org/10.1016/j.procir.2018.03.293
Matsas, M., Pintzos, G., Kapnia, A., Mourtzis, D.: An integrated collaborative platform for managing product-service across their life cycle. Procedia CIRP (2017). https://doi.org/10.1016/j.procir.2016.09.009
Bajaj, M., et al.: Graph-based digital blueprint for model based engineering of complex systems. In: INCOSE International Symposium (2017). https://doi.org/10.1002/j.2334-5837.2017.00351.x
Sinha, A.K., Weaver, M., Morgan, S.G.: Visualising, analysing, and managing the design factory. In: Volume 3: Engineering Systems; Heat Transfer and Thermal Engineering; Materials and Tribology; Mechatronics; Robotics. ASME 2014 12th Biennial Conference on Engineering Systems Design and Analysis, Copenhagen, Denmark, 25 July 2014–27 July 2014. American Society of Mechanical Engineers (07252014). https://doi.org/10.1115/ESDA2014-20393
Abramovici, M., Göbel, J.C., Dang, H.B.: Semantic data management for the development and continuous reconfiguration of smart products and systems. CIRP Ann. (2016). https://doi.org/10.1016/j.cirp.2016.04.051
Johnson, D., Speicher, S.: Open Services for Lifecycle Collaboration Core Specification Version 2.0 (2013). https://archive.open-services.net/bin/view/Main/OslcCoreSpecification.html. Accessed 5 Mar 2020
Schreiber, G., Raimond, Y.: RDF 1.1 Primer (2014). https://www.w3.org/TR/rdf-primer/. Accessed 28 Mar 2020
Senington, R., Baumeister, F., Ng, A., Oscarsson, J.: A linked data approach for the connection of manufacturing processes with production simulation models. Procedia CIRP (2018). https://doi.org/10.1016/j.procir.2018.03.243
Franke, M., Klein, K., Thoben, K.-D.: Interoperable information exchange as enabler of NFF related TES. Procedia CIRP (2017). https://doi.org/10.1016/j.procir.2016.08.037
Oks, S.J., Jalowski, M., Fritzsche, A., Möslein, K.M.: Cyber-physical modeling and simulation: a reference architecture for designing demonstrators for industrial cyber-physical systems. Procedia CIRP (2019). https://doi.org/10.1016/j.procir.2019.04.239
Yao, Y., Lin, L., Dong, J.: Research on ontology-based multi-source engineering information retrieval in integrated environment of enterprise. In: 2009 International Conference on Interoperability for Enterprise Software and Applications China. 2009 International Conference on Interoperability for Enterprise Software and Applications China (IESA), Beijing, China, 21 April 2009–22 April 2009, pp. 277–282. IEEE (2009). https://doi.org/10.1109/I-ESA.2009.25
Dengel, A.: Semantische Technologien. Spektrum Akademischer Verlag, Heidelberg (2012). https://doi.org/10.1007/978-3-8274-2664-2
Fagin, R., Kolaitis, P.G., Miller, R.J., Popa, L.: Data exchange: semantics and query answering. Theor. Comput. Sci. (2005). https://doi.org/10.1016/j.tcs.2004.10.033
ISO: Industrial automation systems and integration — Product data representation and exchange. Part 11: Description methods: The EXPRESS language reference manual (ISO 10303-11:2004) (2004). https://www.iso.org/standard/38047.html
Ehrlinger, L., Rusz, E., Wöß, W.: A survey of data quality measurement and monitoring tools (2019). http://arxiv.org/pdf/1907.08138v1
Wang, R.Y., Kon, H.B.: Toward total data quality management (TDQM). In: Information Technology in Action: Trends and Perspectives, pp. 179–197 (1993)
Henderson, D., Earley, S. (eds.): DAMA-DMBOK. Data Management Body of Knowledge. Technics Publications, Basking Ridge, New Jersey (2017)
Nitzsche, J., van Lessen, T., Karastoyanova, D., Leymann, F.: BPEL for semantic web services (BPEL4SWS). In: Meersman, R., Tari, Z., Herrero, P. (eds.) OTM 2007. LNCS, vol. 4805, pp. 179–188. Springer, Heidelberg (2007). https://doi.org/10.1007/978-3-540-76888-3_37
Göbel, J.C., Eickhoff, T.: Konzeption von Digitalen Zwillingen smarter Produkte. ZWF - Zeitschrift für den wirtschaftlichen Fabrikbetrieb (2020)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 IFIP International Federation for Information Processing
About this paper
Cite this paper
Gries, J., Eickhoff, T., Eiden, A., Göbel, J.C. (2020). Supporting Linked Engineering Data Management of Smart Product Systems Through Semantic Platform Services. In: Nyffenegger, F., Ríos, J., Rivest, L., Bouras, A. (eds) Product Lifecycle Management Enabling Smart X. PLM 2020. IFIP Advances in Information and Communication Technology, vol 594. Springer, Cham. https://doi.org/10.1007/978-3-030-62807-9_20
Download citation
DOI: https://doi.org/10.1007/978-3-030-62807-9_20
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-62806-2
Online ISBN: 978-3-030-62807-9
eBook Packages: Computer ScienceComputer Science (R0)
