A Meta-Model to Connect Model-based Systems Engineering with Product Data Management by Dint of the Blockchain

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    1 Citation (Scopus)

    Abstract

    Complexity in automotive electrics/electronics development increases steadily due to new technologies, e.g. autonomous driving. Knowledge and hence development is more distributed among equal engineering partners and suppliers who become more and might join ad hoc, e.g. a start-up provides a new software faster and cheaper. Development artifacts have to be reconciled and traceability between E/E systems and their components has to be ensured to avoid errors, incompatibilities, and high coordination effort. Model-based systems engineering (MBSE) starts early in the development process by defining formal models which link and trace all system elements. However, there still is a gap between MBSE and later product data and lifecycle management (PDM/PLM) because these disciplines have different meta models. This paper presents a framework, methodologically and technologically, to bridge this gap. Therefore, the Blockchain technology provides valuable mechanisms for engineering collaboration. MBSE methodologies are assessed, aligned with PDM/PLM, and prototypically implemented.
    Original languageEnglish
    Title of host publication2018 International Conference on Intelligent Systems (IS)
    EditorsJoao Martins, Vladimir Jotsov, Robert Bierwolf, Joao Pedro Mendonca, Ricardo Jardim-Goncalves, Maria Marques
    PublisherIEEE
    Pages280-287
    Number of pages8
    ISBN (Electronic)978-1-5386-7097-2
    DOIs
    Publication statusPublished - 8 May 2019
    Event9th International Conference on Intelligent Systems 2018 - Funchal, Portugal
    Duration: 25 Sep 201827 Sep 2018
    Conference number: 9

    Conference

    Conference9th International Conference on Intelligent Systems 2018
    CountryPortugal
    CityFunchal
    Period25/09/1827/09/18

    Fingerprint

    Systems engineering
    Information management
    Pulse width modulation
    Electronic equipment

    Keywords

    • Automotive
    • Blockchain
    • Electrics/electronics
    • Engineering collaboration
    • Meta model
    • Model-based systems engineering
    • PDM/PLM

    Cite this

    Heber, D. T., & Groll, M. W. (2019). A Meta-Model to Connect Model-based Systems Engineering with Product Data Management by Dint of the Blockchain. In J. Martins, V. Jotsov, R. Bierwolf, J. P. Mendonca, R. Jardim-Goncalves, & M. Marques (Eds.), 2018 International Conference on Intelligent Systems (IS) (pp. 280-287). [8710527] IEEE. https://doi.org/10.1109/IS.2018.8710527
    Heber, Dominik T. ; Groll, Marco W. / A Meta-Model to Connect Model-based Systems Engineering with Product Data Management by Dint of the Blockchain. 2018 International Conference on Intelligent Systems (IS). editor / Joao Martins ; Vladimir Jotsov ; Robert Bierwolf ; Joao Pedro Mendonca ; Ricardo Jardim-Goncalves ; Maria Marques. IEEE, 2019. pp. 280-287
    @inproceedings{238c54df09f94dfbac04146b64fcaab9,
    title = "A Meta-Model to Connect Model-based Systems Engineering with Product Data Management by Dint of the Blockchain",
    abstract = "Complexity in automotive electrics/electronics development increases steadily due to new technologies, e.g. autonomous driving. Knowledge and hence development is more distributed among equal engineering partners and suppliers who become more and might join ad hoc, e.g. a start-up provides a new software faster and cheaper. Development artifacts have to be reconciled and traceability between E/E systems and their components has to be ensured to avoid errors, incompatibilities, and high coordination effort. Model-based systems engineering (MBSE) starts early in the development process by defining formal models which link and trace all system elements. However, there still is a gap between MBSE and later product data and lifecycle management (PDM/PLM) because these disciplines have different meta models. This paper presents a framework, methodologically and technologically, to bridge this gap. Therefore, the Blockchain technology provides valuable mechanisms for engineering collaboration. MBSE methodologies are assessed, aligned with PDM/PLM, and prototypically implemented.",
    keywords = "Automotive, Blockchain, Electrics/electronics, Engineering collaboration, Meta model, Model-based systems engineering, PDM/PLM",
    author = "Heber, {Dominik T.} and Groll, {Marco W.}",
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    month = "5",
    day = "8",
    doi = "10.1109/IS.2018.8710527",
    language = "English",
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    editor = "Joao Martins and Vladimir Jotsov and Robert Bierwolf and Mendonca, {Joao Pedro} and Ricardo Jardim-Goncalves and Maria Marques",
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    Heber, DT & Groll, MW 2019, A Meta-Model to Connect Model-based Systems Engineering with Product Data Management by Dint of the Blockchain. in J Martins, V Jotsov, R Bierwolf, JP Mendonca, R Jardim-Goncalves & M Marques (eds), 2018 International Conference on Intelligent Systems (IS)., 8710527, IEEE, pp. 280-287, 9th International Conference on Intelligent Systems 2018, Funchal, Portugal, 25/09/18. https://doi.org/10.1109/IS.2018.8710527

    A Meta-Model to Connect Model-based Systems Engineering with Product Data Management by Dint of the Blockchain. / Heber, Dominik T.; Groll, Marco W.

    2018 International Conference on Intelligent Systems (IS). ed. / Joao Martins; Vladimir Jotsov; Robert Bierwolf; Joao Pedro Mendonca; Ricardo Jardim-Goncalves; Maria Marques. IEEE, 2019. p. 280-287 8710527.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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    N2 - Complexity in automotive electrics/electronics development increases steadily due to new technologies, e.g. autonomous driving. Knowledge and hence development is more distributed among equal engineering partners and suppliers who become more and might join ad hoc, e.g. a start-up provides a new software faster and cheaper. Development artifacts have to be reconciled and traceability between E/E systems and their components has to be ensured to avoid errors, incompatibilities, and high coordination effort. Model-based systems engineering (MBSE) starts early in the development process by defining formal models which link and trace all system elements. However, there still is a gap between MBSE and later product data and lifecycle management (PDM/PLM) because these disciplines have different meta models. This paper presents a framework, methodologically and technologically, to bridge this gap. Therefore, the Blockchain technology provides valuable mechanisms for engineering collaboration. MBSE methodologies are assessed, aligned with PDM/PLM, and prototypically implemented.

    AB - Complexity in automotive electrics/electronics development increases steadily due to new technologies, e.g. autonomous driving. Knowledge and hence development is more distributed among equal engineering partners and suppliers who become more and might join ad hoc, e.g. a start-up provides a new software faster and cheaper. Development artifacts have to be reconciled and traceability between E/E systems and their components has to be ensured to avoid errors, incompatibilities, and high coordination effort. Model-based systems engineering (MBSE) starts early in the development process by defining formal models which link and trace all system elements. However, there still is a gap between MBSE and later product data and lifecycle management (PDM/PLM) because these disciplines have different meta models. This paper presents a framework, methodologically and technologically, to bridge this gap. Therefore, the Blockchain technology provides valuable mechanisms for engineering collaboration. MBSE methodologies are assessed, aligned with PDM/PLM, and prototypically implemented.

    KW - Automotive

    KW - Blockchain

    KW - Electrics/electronics

    KW - Engineering collaboration

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    KW - Model-based systems engineering

    KW - PDM/PLM

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    BT - 2018 International Conference on Intelligent Systems (IS)

    A2 - Martins, Joao

    A2 - Jotsov, Vladimir

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    A2 - Jardim-Goncalves, Ricardo

    A2 - Marques, Maria

    PB - IEEE

    ER -

    Heber DT, Groll MW. A Meta-Model to Connect Model-based Systems Engineering with Product Data Management by Dint of the Blockchain. In Martins J, Jotsov V, Bierwolf R, Mendonca JP, Jardim-Goncalves R, Marques M, editors, 2018 International Conference on Intelligent Systems (IS). IEEE. 2019. p. 280-287. 8710527 https://doi.org/10.1109/IS.2018.8710527