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ENGINEERING GRAPH AS AN APPROACH TO SUPPORT DESIGN DECISIONS IN PRODUCT DEVELOPMENT

Published online by Cambridge University Press:  19 June 2023

Gregor Schweitzer ,
Michael Bitzer  and
Michael Vielhaber
Gregor Schweitzer*
Affiliation:
Fresenius Medical Care
Michael Bitzer
Affiliation:
Fresenius Medical Care
Michael Vielhaber
Affiliation:
Saarland University
*
Schweitzer, Gregor, Fresenius Medical Care, Germany, gregor.schweitzer@gmail.com

Abstract

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The requirements space is increasing due to non-functional areas such as security, resilience and sustainability gaining in importance. This creates a complex and dynamic space which makes it hard for engineers to take good data driven design decisions. Increasing the quality of design decisions allows to better set up development projects and develop more successful products and services. The design can most heavily be influenced in the early design phases, where design flexibility is high and resource commitment is low. Unfortunately, the system knowledge is also low in early phases. The Engineering Graph is a concept that connects data from different internal and external sources. It allows to connect product data stored in Product Lifecycle Management systems with system models and also add external sources from the Wikimedia Knowledge Graph, World Health Organization and World Bank. This interconnected data allows the support of engineers in managing the complex and dynamic requirement space and provide high system knowledge in the early design phases to support design decisions.

Keywords

Product Lifecycle Management (PLM)Early design phasesSemantic data processingEngineering GraphDesign Decisions
Type
Article
Information
Proceedings of the Design Society , Volume 3: ICED23 , July 2023 , pp. 1625 - 1634
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2023. Published by Cambridge University Press

References

Anderl, R. (1998), Produktdatentechnologie III – Produktdatenmanagement. Vorlesungsskript, Fachgebiet Datenverarbeitung in der Konstruktion.Google Scholar
Angles, R. and Gutierrez, C. (2008), “Survey of graph database models”, ACM Computing Surveys, Vol. 40 No. 1, p. 1:1–1:39, https://doi.org/10.1145/1322432.1322433.CrossRefGoogle Scholar
Bare, J., Hofstetter, P., Pennington, D. and Haes, H. (2012), “Midpoints Versus Endpoints: The Sacrifices and Benefits”, Int. J. Life Cycle Ass., Vol. 5, pp. 319–326, https://doi.org/10.1007/BF02978665.CrossRefGoogle Scholar
Beliga, S., Meštrović, A. and Martinčić-Ipšić, S. (2015), “An Overview of Graph-Based Keyword Extraction Methods and Approaches”, Journal of Information and Organizational Sciences, Vol. 39 No. 1, https://jios.foi.hr/index.php/jios/article/view/938.Google Scholar
Bender, B. and Gericke, K. (2021), Pahl/Beitz Konstruktionslehre, Springer, Berlin, Heidelberg, https://doi.org/10.1007/978-3-662-57303-7.CrossRefGoogle Scholar
Bitzer, M., Eigner, M. and Langlotz, M. (2007), “Management Decision Support By PLM Solutions”, 16th International Conference on Engineering Design, https://www.designsociety.org/publication/25554/.Google Scholar
Boy, G. (2019), “From Rigid to Flexible – From Virtual to Tangible an Evolution of Human-Centered Design”, Proceedings of the 20th Congress of the International Ergonomics Association, Springer, Cham, pp. 54–63, https://doi.org/10.1007/978-3-319-96071-5_6.CrossRefGoogle Scholar
Burr, H. (2008), Informationsmanagement an der Schnittstelle zwischen Entwicklung und Produktionsplanung im Karosserierohbau, Dissertation, Saarland University, https://publikationen.sulb.uni-saarland.de/handle/20.500.11880/22551.Google Scholar
Cerdas, F., Thiede, S. and Herrmann, C. (2018), “Integrated Computational Life Cycle Engineering — Application to the case of electric vehicles”, CIRP Annals, Vol. 67 No. 1, pp. 25–28, https://doi.org/10.1016/j.cirp.2018.04.052.CrossRefGoogle Scholar
Dumitrescu, R., Albers, A., Riedel, O., Stark, R. and Gausemeier, J. (2021), Engineering in Deutschland – Status Quo in Wirtschaft Und Wissenschaft, Fraunhofer IEM, Paderborn, available at: https://www.hni.uni-paderborn.de/pub/10234 (accessed 9 August 2022).Google Scholar
Eigner, M. and Stelzer, R. (2013), Product Lifecycle Management: ein Leitfaden für Product Development und Life Cycle Management, 2. neu bearb. Aufl., Springer, Dordrecht, https://link.springer.com/book/10.1007/b93672.Google Scholar
Gausemeier, J. and Moehringer, S. (2002), “VDI 2206- A New Guideline for the Design of Mechatronic Systems”, IFAC Proceedings Volumes, Vol. 35 No. 2, pp. 785–790, https://doi.org/10.1016/S1474-6670(17)34035-1.CrossRefGoogle Scholar
Hauschild, M.Z., Rosenbaum, R.K. and Olsen, S.I. (2018), Life Cycle Assessment: Theory and Practice, https://link.springer.com/book/10.1007/978-3-319-56475-3.Google Scholar
Kaluza, A., Gellrich, S., Cerdas, F., Thiede, S. and Herrmann, C. (2018), “Life Cycle Engineering Based on Visual Analytics”, Procedia CIRP, Vol. 69, pp. 37–42, https://doi.org/10.1016/j.procir.2017.11.128.CrossRefGoogle Scholar
Kaul, A. and Rao, V.R. (1995), “Research for product positioning and design decisions: An integrative review”, International Journal of Research in Marketing, Vol. 12 No. 4, pp. 293–320, https://doi.org/10.1016/0167-8116(94)00018-2.CrossRefGoogle Scholar
Krishnan, V. and Ulrich, K.T. (2001), “Product Development Decisions: A Review of the Literature”, Management Science, INFORMS, Vol. 47 No. 1, pp. 1–21, https://www.jstor.org/stable/2661556.Google Scholar
Rawat, D.S. and Kashyap, N.K. (2017), “Graph database: a complete GDBMS survey”, International Journal for Innovative Research in Science & Technology, Vol. 3 No. 12, pp. 217–226, http://www.ijirst.org/articles/IJIRSTV3I12047.pdf.Google Scholar
Sakao, T., Funk, P., Matschewsky, J., Bengtsson, M. and Ahmed, M.U. (2021), “AI-LCE: Adaptive and Intelligent Life Cycle Engineering by applying digitalization and AI methods – An emerging paradigm shift in Life Cycle Engineering”, Procedia CIRP, Vol. 98, pp. 571–576, https://doi.org/10.1016/j.procir.2021.01.153.CrossRefGoogle Scholar
Schweitzer, G., Bitzer, M. and Vielhaber, M. (2020), “Produktentwicklung: KI-ready?”, Zeitschrift für wirtschaftlichen Fabrikbetrieb, De Gruyter, Vol. 115 No. 12, pp. 873–876, https://doi.org/10.3139/104.112464.CrossRefGoogle Scholar
Schweitzer, G., Bitzer, M. and Vielhaber, M. (2021), “Artificial intelligence in engineering: evolution of virtual product development in the context of medical device industry”, Procedia CIRP, Vol. 100, pp. 349–354, https://doi.org/10.1016/j.procir.2021.05.081.CrossRefGoogle Scholar
Schweitzer, G., Bitzer, M. and Vielhaber, M. (2023), “Lifecycle Engineering in the Context of a Medical Device Company–Leveraging MBSE, PLM and AI”, PLM Conference 2022, Grenoble, pp. 557–566, https://doi.org/10.1007/978-3-031-25182-5_54.Google Scholar
Schweitzer, G., Mörsdorf, S., Bitzer, M. and Vielhaber, M. (2022), “Detection of cause-effect relationships in Life Cycle Sustainability Assessment based on an Engineering Graph”, DESIGN 2022, https://doi.org/10.1017/pds.2022.115.Google Scholar
UN General Assembly. (2021), Transforming our world: the 2030 Agenda for Sustainable Development, Refworld, available at: https://www.refworld.org/docid/57b6e3e44.html (accessed 12 November 2021).Google Scholar
Vicknair, C., Macias, M., Zhao, Z., Nan, X., Chen, Y. and Wilkins, D. (2010), “A comparison of a graph database and a relational database: a data provenance perspective”, Proceedings of the 48th Annual Southeast Regional Conference, Association for Computing Machinery, New York, pp. 1–6, https://doi.org/10.1145/1900008.1900067.CrossRefGoogle Scholar
Organization, World Health. (2021), Health System Building Blocks, available at: https://extranet.who.int/nhptool/Default.aspx (accessed 12 November 2021).Google Scholar
Wörner, J.-D. and Schmidt, C.M. (2022), Sicherheit, Resilienz und Nachhaltigkeit [acatech Impuls], available at: https://www.acatech.de/publikation/sicherheit-resilienz-und-nachhaltigkeit/ (accessed 8 November 2022).Google Scholar
Zingel, C., Bitzer, M., Kleiner, S., Michels, N., Bauch, M. and Kaspar, J. (2022), “Systems Engineering at Fresenius Medical Care – Starting a transformation”, Tag des Systems Engineering, Paderborn, pp. 50–54.Google Scholar