Short answer
Integrate advanced modeling languages and digital tools into systems engineering processes to enhance complexity management and address emerging challenges.
- Field
- Modelling
- Source
- IEEE Transactions on Engineering Management (2022)
- Method
- Bibliometric analysis and visual network analysis.
- Evidence
- Strong effect
A bibliometric analysis reveals that Model-Based Systems Engineering (MBSE) research is characterized by distinct research teams, emerging publication hubs, and a focus on system engineering, languages, systems of systems, and digitalization. This modelling research insight is drawn from a 2022 study published in IEEE Transactions on Engineering Management. Using Bibliometric analysis and visual network analysis., researchers explored how this design variable affects real-world outcomes. The key design takeaway: Integrate advanced modeling languages and digital tools into systems engineering processes to enhance complexity management and address emerging challenges.
MBSE research landscape mapped: identifying key themes and future trajectories
A bibliometric analysis reveals that Model-Based Systems Engineering (MBSE) research is characterized by distinct research teams, emerging publication hubs, and a focus on system engineering, languages, systems of systems, and digitalization.
IEEE Transactions on Engineering Management · 2022
Key Findings
- 01MBSE research is conducted by numerous distinct research teams.
- 02Key publication sources in the MBSE field have emerged.
- 03Research on MBSE primarily focuses on system engineering, languages, systems of systems, and digitalization.
- 04The development of new technologies, such as next-generation modeling languages, is addressing current practical problems in MBSE.
Application
Design takeaway
Integrate advanced modeling languages and digital tools into systems engineering processes to enhance complexity management and address emerging challenges.
How to apply
When initiating a complex systems design project, conduct a targeted literature review focusing on the identified key themes and influential sources within MBSE to inform your approach and identify potential tools or methodologies.
Project actions
- 01When starting a design project involving complex systems, consider how MBSE principles and tools can be applied.
- 02Research the latest modeling languages and digital platforms mentioned in MBSE literature to inform your tool selection.
Method & Evidence
Variables
Strengths & Limitations
Strengths
- +Provides a comprehensive overview of the MBSE research field.
- +Identifies key trends and future directions based on empirical data from publications.
Limitations
The bibliometric analysis provides a high-level overview and may not delve into the practical challenges or nuances of implementing MBSE in specific design contexts. The identified trends might evolve rapidly.
Reliability & validity
The reliability of bibliometric analysis depends on the comprehensiveness of the database searched and the chosen analytical tools. Validity is enhanced by the systematic approach to data collection and analysis, but it primarily reflects the published literature, not necessarily the entirety of the field's practice.
Think critically
How might the identified research themes in MBSE (system engineering, languages, systems of systems, digitalization) be prioritized or integrated differently depending on the specific industry or complexity of the system being designed?
Design Principles
"Systematic exploration and mapping of research landscapes are essential for strategic innovation and development in complex engineering domains."
Understanding the landscape of MBSE research, including its key themes and influential sources, is crucial for designers and engineers working on complex systems. This knowledge can inform project direction, identify potential collaborators, and highlight emerging technologies that could address current practical challenges.
What This Means for Your Design
This study looked at lots of papers about Model-Based Systems Engineering (MBSE) to see who is researching it, what topics are popular, and where the field is going. It found that many different groups are working on MBSE, and the main topics are about how to design and manage complex systems using models, especially with new digital tools and languages.
How to use in your project
- 1.Cite this study when discussing the background and current state of Model-Based Systems Engineering in your design project's research section.
- 2.Use the identified key research themes (system engineering, languages, systems of systems, digitalization) to structure your literature review or to justify the focus of your design exploration.
Add to My Project
Quick Cite
Paragraph starter
A bibliometric analysis of Model-Based Systems Engineering (MBSE) reveals a dynamic research landscape characterized by distinct research teams and emerging publication hubs. The core research areas identified include system engineering principles, modeling languages, the management of systems of systems, and the impact of digitalization. Furthermore, the study highlights that advancements in technologies, such as next-generation modeling languages, are actively contributing to the resolution of current practical challenges within MBSE.
Source
IEEE Transactions on Engineering Management
Bibliometric Analysis of Model-Based Systems Engineering: Past, Current, and Future
journal · 2022
View sourceQuestions About This Research
- What does the research say about mbse research landscape mapped: identifying key themes and future trajectories?
- Integrate advanced modeling languages and digital tools into systems engineering processes to enhance complexity management and address emerging challenges. Evidence: IEEE Transactions on Engineering Management (2022).
- Why does "MBSE research landscape mapped: identifying key themes and future trajectories" matter for design?
- Understanding the landscape of MBSE research, including its key themes and influential sources, is crucial for designers and engineers working on complex systems. This knowledge can inform project direction, identify potential collaborators, and highlight emerging technologies that could address current practical challenges.
- How can designers apply this research?
- Integrate advanced modeling languages and digital tools into systems engineering processes to enhance complexity management and address emerging challenges.
- What were the main findings?
- MBSE research is conducted by numerous distinct research teams.. Key publication sources in the MBSE field have emerged.. Research on MBSE primarily focuses on system engineering, languages, systems of systems, and digitalization.. The development of new technologies, such as next-generation modeling languages, is addressing current practical problems in MBSE.
- What research method was used?
- Bibliometric analysis and visual network analysis..
- How strong is the evidence?
- Evidence strength is rated Strong effect, based on a 2022 journal from IEEE Transactions on Engineering Management.
- What should I do differently in my next project?
- When initiating a complex systems design project, conduct a targeted literature review focusing on the identified key themes and influential sources within MBSE to inform your approach and identify potential tools or methodologies.
- What are the limitations?
- The analysis is based on published literature, which may not capture all ongoing or unpublished research. The focus on bibliometrics might overlook qualitative aspects of MBSE adoption and practice.