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Systems
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Advanced Model-Based Systems Engineering
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Advanced Model-Based Systems Engineering

A special issue of Systems (ISSN 2079-8954). This special issue belongs to the section "Systems Engineering".

Deadline for manuscript submissions: 30 June 2025 | Viewed by 2459

Special Issue Editors

Dr. Jinzhi Lu

E-Mail Website
Guest Editor
School of Aeronautic Science and Engineering, Beihang University, Beijing 100191, China
Interests: model-based systems engineering; architecture design; digital engineering
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Guoxin Wang

E-Mail Website
Guest Editor
Institute of Industrial and Intelligent Systems Engineering, Beijing Institute of Technology, Beijing 100081, China
Interests: model-based systems engineering; knowledge engineering; intelligent design
Dr. Xiaochen Zheng

E-Mail Website
Guest Editor
School of System Design and Intelligent Manufacturing, Southern University of Science and Technology, Shenzhen 518055, China
Interests: MBSE; semantic modelling; digital twin
Dr. Foivos Psarommatis

E-Mail Website
Guest Editor
Department of Informatics, University of Oslo, 0316 Oslo, Norway
Interests: systems modeling; industrial application; sustainability
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Since systems engineering has been widely used in complex system development, advanced model-based systems engineering (MBSE) has emerged as a crucial methodology for managing the complexities of systems which become more and more complex. By employing models as primary artifacts throughout the system lifecycle, MBSE enables a more integrated, efficient, and reliable approach to system design, analysis, and verification. Currently, model-based systems engineering has been proposed with different meanings and definitions and with different modeling languages and frameworks. Thus, this Special Issue aims to identify the nature of model-based systems engineering to explore recent advancements in MBSE methodologies, techniques, tools, and applications, as well as their impact on various domains.

Topics of Interest:

  • Advanced modeling languages and notations for MBSE.
  • Model-based requirements engineering and management.
  • Integration of MBSE with other engineering disciplines (e.g., software engineering, mechanical engineering).
  • Model-based system architecture and design.
  • Model-based simulation and verification techniques.
  • Formal methods and model checking in MBSE.
  • MBSE for system of systems, cyber–physical systems and Internet of Things (IoT) and system security.
  • Case studies and applications of MBSE in different domains (e.g., aerospace, automotive, healthcare).
  • Tools and frameworks for supporting MBSE activities.
  • Challenges and future directions in MBSE research and practice.
  • AI enabling techniques for MBSE.
  • Digital engineering.

Dr. Jinzhi Lu
Prof.dr. Guoxin Wang
Dr. Xiaochen Zheng
Dr. Foivos Psarommatis
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Systems is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • model-based systems engineering
  • architecture design
  • digital engineering

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Published Papers (2 papers)

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Research

31 pages, 26175 KiB  
Article
X-RMTV: An Integrated Approach for Requirement Modeling, Traceability Management, and Verification in MBSE
by Pengfei Gu, Yuteng Zhang, Zhen Chen, Chun Zhao, Kunyu Xie, Zhuoyi Wu and Lin Zhang
Systems 2024, 12(10), 443; https://doi.org/10.3390/systems12100443 - 20 Oct 2024
Viewed by 913
Abstract
Formal requirements modeling and traceability management are essential for effectively implementing Model-Based Systems Engineering (MBSE). However, few studies have explored the integration of requirement modeling, traceability management, and verification within MBSE-based systems engineering methodologies. Moreover, the predominant modeling language for MBSE, SysML, lacks [...] Read more.
Formal requirements modeling and traceability management are essential for effectively implementing Model-Based Systems Engineering (MBSE). However, few studies have explored the integration of requirement modeling, traceability management, and verification within MBSE-based systems engineering methodologies. Moreover, the predominant modeling language for MBSE, SysML, lacks sufficient capabilities for requirement description and traceability management and for depicting physical attributes and executable capabilities, making it challenging to verify functional and non-functional requirements collaboratively. This paper proposes an integrated approach for requirement modeling, traceability management, and verification, building on the previously proposed integrated modeling and the simulation language called X language. Our contributions primarily include defining the ReqXL specification for MBSE-oriented requirement modeling based on X language, proposing an algorithm for automatically generating requirement traces, and an integrated framework for requirements modeling, traceability management, and verification was developed by combining the X language with ReqXL. These functionalities were customized on the self-developed integrated modeling and simulation platform, XLab, which is specifically tailored for the X language. Furthermore, we showcase the efficacy and promise of our approach through a case study involving the design of an aircraft electrical system. Full article
(This article belongs to the Special Issue Advanced Model-Based Systems Engineering)
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30 pages, 5751 KiB  
Article
Method for Developing the System Architecture of Existing Industrial Objects for Digital Representation Tasks
by Vladimir Badenko, Vladimir Yadykin, Vladimir Kamsky, Arina Mohireva, Andrey Bezborodov, Egor Melekhin and Nikolay Sokolov
Systems 2024, 12(9), 355; https://doi.org/10.3390/systems12090355 - 9 Sep 2024
Viewed by 868
Abstract
This paper presents a method for creating the system architecture of existing industrial objects based on Model-Based Systems Engineering (MBSE) principles. The method aims to form a digital representation of physical objects, which is crucial in the digital transformation of industrial enterprises. It [...] Read more.
This paper presents a method for creating the system architecture of existing industrial objects based on Model-Based Systems Engineering (MBSE) principles. The method aims to form a digital representation of physical objects, which is crucial in the digital transformation of industrial enterprises. It allows for the accurate reflection of all components, processes, functions, and interrelationships within an object. The methodology includes stages of data collection, structuring, development of ontological models, and the integration of a comprehensive system architecture into the digital space. This method was tested using a small hydroelectric power plant, revealing its key advantages and disadvantages and identifying areas for further improvement. The main findings indicate a significant improvement in understanding the system architecture for scenario modeling and digital operation of the objects. Despite challenges such as the need for multiple iterations and high data requirements, the methodology demonstrates the potential for applying MBSE in the digital transformation of existing industrial objects. Full article
(This article belongs to the Special Issue Advanced Model-Based Systems Engineering)
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