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

Dominik T. Heber; Marco W. Groll

doi:10.1109/IS.2018.8710527

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

Dominik T. Heber, Marco W. Groll

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

10 Citations (Scopus)

19 Downloads (Pure)

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 language	English
Title of host publication	2018 International Conference on Intelligent Systems (IS)
Editors	Joao Martins, Vladimir Jotsov, Robert Bierwolf, Joao Pedro Mendonca, Ricardo Jardim-Goncalves, Maria Marques
Publisher	IEEE
Pages	280-287
Number of pages	8
ISBN (Electronic)	978-1-5386-7097-2
DOIs	https://doi.org/10.1109/IS.2018.8710527
Publication status	Published - 9 May 2019
Event	9th International Conference on Intelligent Systems 2018 - Funchal, Portugal Duration: 25 Sept 2018 → 27 Sept 2018 Conference number: 9

Conference

Conference	9th International Conference on Intelligent Systems 2018
Country/Territory	Portugal
City	Funchal
Period	25/09/18 → 27/09/18

Keywords

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

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10.1109/IS.2018.8710527

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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). Article 8710527 IEEE. https://doi.org/10.1109/IS.2018.8710527

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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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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 proceeding › Conference contribution › Academic › peer-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.

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A2 - Marques, Maria

PB - IEEE

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Y2 - 25 September 2018 through 27 September 2018

ER -

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

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