MBSE 2.0: Toward More Integrated, Comprehensive, and Intelligent MBSE
Model-Based Systems Engineering (MBSE) has gained significant attention from both industry and academia as an effective approach to managing product complexity. Despite its progress, current MBSE concepts, tools, languages, and methodologies face notable challenges in industrial applications, partic...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-07-01
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| Series: | Systems |
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| Online Access: | https://www.mdpi.com/2079-8954/13/7/584 |
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| author | Lin Zhang Zhen Chen Yuanjun Laili Lei Ren M. Jamal Deen Wentong Cai Yuteng Zhang Yuqing Zeng Pengfei Gu |
| author_facet | Lin Zhang Zhen Chen Yuanjun Laili Lei Ren M. Jamal Deen Wentong Cai Yuteng Zhang Yuqing Zeng Pengfei Gu |
| author_sort | Lin Zhang |
| collection | DOAJ |
| description | Model-Based Systems Engineering (MBSE) has gained significant attention from both industry and academia as an effective approach to managing product complexity. Despite its progress, current MBSE concepts, tools, languages, and methodologies face notable challenges in industrial applications, particularly in addressing design variability, ensuring model consistency, and enhancing operational efficiency. Based on the authors’ industry observations and literature analysis, this paper identifies the primary limitations of traditional MBSE, and introduces MBSE 2.0, a next-generation evolution characterized by comprehensive, integrated, and intelligent features. Key enabling technologies, such as model governance, integrated design methods, and AI-enhanced system design, are explored in detail. Additionally, several preliminary explorations were introduced under the guidance of the MBSE 2.0 philosophy. This study introduces the MBSE 2.0 concept to stimulate discussion and guide future efforts in academia and industry, emphasizing key advancements and highlighting several key and pressing perspectives to alleviate current limitations in industrial practice. |
| format | Article |
| id | doaj-art-1cec05fac0da41ad894efe5e4185d90e |
| institution | Kabale University |
| issn | 2079-8954 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Systems |
| spelling | doaj-art-1cec05fac0da41ad894efe5e4185d90e2025-08-20T03:56:45ZengMDPI AGSystems2079-89542025-07-0113758410.3390/systems13070584MBSE 2.0: Toward More Integrated, Comprehensive, and Intelligent MBSELin Zhang0Zhen Chen1Yuanjun Laili2Lei Ren3M. Jamal Deen4Wentong Cai5Yuteng Zhang6Yuqing Zeng7Pengfei Gu8Hangzhou International Innovation Institute, Beihang University, 166 Shuanghongqiao Street, Pingyao Town, Yuhang District, Hangzhou 311115, ChinaHangzhou International Innovation Institute, Beihang University, 166 Shuanghongqiao Street, Pingyao Town, Yuhang District, Hangzhou 311115, ChinaHangzhou International Innovation Institute, Beihang University, 166 Shuanghongqiao Street, Pingyao Town, Yuhang District, Hangzhou 311115, ChinaHangzhou International Innovation Institute, Beihang University, 166 Shuanghongqiao Street, Pingyao Town, Yuhang District, Hangzhou 311115, ChinaAI Atlas Inc., Hamiton, ON L8S 4K1, CanadaSchool of Computer Science and Engineering, Nanyang Technological University, Singapore 639798, SingaporeHangzhou International Innovation Institute, Beihang University, 166 Shuanghongqiao Street, Pingyao Town, Yuhang District, Hangzhou 311115, ChinaHangzhou International Innovation Institute, Beihang University, 166 Shuanghongqiao Street, Pingyao Town, Yuhang District, Hangzhou 311115, ChinaHangzhou International Innovation Institute, Beihang University, 166 Shuanghongqiao Street, Pingyao Town, Yuhang District, Hangzhou 311115, ChinaModel-Based Systems Engineering (MBSE) has gained significant attention from both industry and academia as an effective approach to managing product complexity. Despite its progress, current MBSE concepts, tools, languages, and methodologies face notable challenges in industrial applications, particularly in addressing design variability, ensuring model consistency, and enhancing operational efficiency. Based on the authors’ industry observations and literature analysis, this paper identifies the primary limitations of traditional MBSE, and introduces MBSE 2.0, a next-generation evolution characterized by comprehensive, integrated, and intelligent features. Key enabling technologies, such as model governance, integrated design methods, and AI-enhanced system design, are explored in detail. Additionally, several preliminary explorations were introduced under the guidance of the MBSE 2.0 philosophy. This study introduces the MBSE 2.0 concept to stimulate discussion and guide future efforts in academia and industry, emphasizing key advancements and highlighting several key and pressing perspectives to alleviate current limitations in industrial practice.https://www.mdpi.com/2079-8954/13/7/584MBSEsystem designsmart manufacturingcyber-physical systems |
| spellingShingle | Lin Zhang Zhen Chen Yuanjun Laili Lei Ren M. Jamal Deen Wentong Cai Yuteng Zhang Yuqing Zeng Pengfei Gu MBSE 2.0: Toward More Integrated, Comprehensive, and Intelligent MBSE Systems MBSE system design smart manufacturing cyber-physical systems |
| title | MBSE 2.0: Toward More Integrated, Comprehensive, and Intelligent MBSE |
| title_full | MBSE 2.0: Toward More Integrated, Comprehensive, and Intelligent MBSE |
| title_fullStr | MBSE 2.0: Toward More Integrated, Comprehensive, and Intelligent MBSE |
| title_full_unstemmed | MBSE 2.0: Toward More Integrated, Comprehensive, and Intelligent MBSE |
| title_short | MBSE 2.0: Toward More Integrated, Comprehensive, and Intelligent MBSE |
| title_sort | mbse 2 0 toward more integrated comprehensive and intelligent mbse |
| topic | MBSE system design smart manufacturing cyber-physical systems |
| url | https://www.mdpi.com/2079-8954/13/7/584 |
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