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Lifecycle Engineering in the Context of a Medical Device Company – Leveraging MBSE, PLM and AI

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Product Lifecycle Management. PLM in Transition Times: The Place of Humans and Transformative Technologies (PLM 2022)

Part of the book series: IFIP Advances in Information and Communication Technology ((IFIPAICT,volume 667))

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Abstract

Medical devices today often consist of complex mechatronic products which help to provide treatment services for patients. Beside safety and reliability also sustainability aspects need to be considered for such products and services. The ability to describe, analyze and predict products and services throughout all phases of its lifecycle is becoming a core competence of engineering departments (Lifecycle Engineering). In order to have a digital representation of the product and services along the lifecycle (digital model, digital twin), well-established engineering approaches need to be combined.

This paper builds on a stream of research, proposing to leverage and combine Model-based Systems Engineering (MBSE), Product Lifecycle Management (PLM) and Artificial Intelligence (AI) to strengthen the Lifecycle Engineering. The so called Engineering Graph is a key element of this research work to bridge those engineering disciplines and enable AI-driven engineering in the lifecycle context.

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Author information

Authors and Affiliations

  1. Fresenius Medical Care, Bad Homburg, Germany

    Gregor M. Schweitzer & Michael Bitzer

  2. Saarland University, Saarbrücken, Germany

    Michael Vielhaber

Authors
  1. Gregor M. Schweitzer
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  2. Michael Bitzer
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  3. Michael Vielhaber
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Editor information

Editors and Affiliations

  1. Laboratoire G-SCOP, Institut Polytechnique de Grenoble, Grenoble, France

    Frédéric Noël

  2. IPEK, OST Ostschweizer Fachhochschule, Rapperswil, Switzerland

    Felix Nyffenegger

  3. École de Technologie Supérieure, Montreal, QC, Canada

    Louis Rivest

  4. Qatar University, Doha, Qatar

    Abdelaziz Bouras

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Schweitzer, G.M., Bitzer, M., Vielhaber, M. (2023). Lifecycle Engineering in the Context of a Medical Device Company – Leveraging MBSE, PLM and AI. In: Noël, F., Nyffenegger, F., Rivest, L., Bouras, A. (eds) Product Lifecycle Management. PLM in Transition Times: The Place of Humans and Transformative Technologies. PLM 2022. IFIP Advances in Information and Communication Technology, vol 667. Springer, Cham. https://doi.org/10.1007/978-3-031-25182-5_54

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  • DOI: https://doi.org/10.1007/978-3-031-25182-5_54

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-25181-8

  • Online ISBN: 978-3-031-25182-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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