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Leveraging design thinking in MBSE: mitigating data and information uncertainties – an integration model approach

Published online by Cambridge University Press:  16 May 2024

Emir Gadzo ,
Marvin Michalides  and
Alexander Koch
Emir Gadzo*
Affiliation:
Bundeswehr University Munich, Germany
Marvin Michalides
Affiliation:
Bundeswehr University Munich, Germany
Alexander Koch
Affiliation:
Bundeswehr University Munich, Germany
*
emir.gadzo@unibw.de

Abstract

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The evolving needs of customers and stakeholders necessitate the collaboration of diverse system elements within a cyber-physical, socio-technical network. Socio-technical systems are characterized by numerous complex interdependencies as well as by endogenous and exogenous influences. A key issue that developers must address is the mitigation of data and information uncertainties. The authors introduce an approach that operationalizes Design Thinking as a supporting sufficient condition within the context of designing system models in the realm of Model-Based Systems Engineering.

Keywords

model-based systems engineering (MBSE)design thinkingsystems engineering (SE)systems thinkingsystems design

Information

Type
Systems Engineering and Design
Information
Proceedings of the Design Society , Volume 4: DESIGN 2024 , May 2024 , pp. 2533 - 2544
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), 2024.

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