Potentials of Design Thinking for knowledge transfer of Model-Based Systems Engineering

Manoury, Marvin; Horlander, Toni; Zimmermann, Thomas C.

doi:10.1109/syscon53536.2022.9773809

Cited by 2 publications

(2 citation statements)

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“…Hehn et al (2020) have already noted that Design Thinking can extend the requirements engineering toolbox. Darrin and Devereux (2017) argue that the techniques of Design Thinking, in addition to their focus on customer-centered interaction, also have an affinity to Model-Based Systems Engineering, and (Manoury et al, 2022) also see people as the driving force in Model-Based Systems Engineering. Therefore, this paper wants to address the following research question: How can Design Thinking be used in the context of MBSE and related systems modelling to reduce uncertainties in data and information?…”

Section: Introductionmentioning

confidence: 99%

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

Gadzo,

Michalides,

Koch

2024

Proc. Des. Soc.

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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.

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Section: Introductionmentioning

confidence: 99%

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

Gadzo,

Michalides,

Koch

2024

Proc. Des. Soc.

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“…The integration of SysML models into industry has already been studied by other researchers [44]. Among other things, design thinking seems to make sense as an option for knowledge transfer and thus enable a user-centered MBSE [45].…”

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confidence: 99%

A Model-Based Approach for the Methodical Development and Configuration of Modular Product Families

Hanna,

Wöller,

Dambietz

et al. 2023

Systems

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This paper shows how a methodical development and configuration of modular product family concepts and their effects on economic targets can be implemented in SysML. For this purpose, different sources of inconsistency between different methodical tools are highlighted and the need for research is shown. As a solution approach, a methodical framework is presented, which can be used to implement product development methods for the developing of modular product family modeling by means of Model-Based Systems Engineering (MBSE) in the modeling language SysML. By applying the framework, it is shown on the one hand how a product family of vacuum cleaner robots as a simple example can be modularized in a methodical, model-based manner. On the other hand, a configuration system and an impact model of modular product families are connected with the system model and applied to a product family of laser systems as an industrial use case. This made it clear that the framework can be used to model various methodical topics of product family modeling in a consistent manner, to enable higher-level analyses with the use of MBSE tools. This can reduce errors, decrease effort and increase traceability across different methodical tools.

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Potentials of Design Thinking for knowledge transfer of Model-Based Systems Engineering

Cited by 2 publications

References 0 publications

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

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

A Model-Based Approach for the Methodical Development and Configuration of Modular Product Families

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