TY - GEN
T1 - A Complexity Analysis Approach for Model-based System Engineering
AU - Hu, Zhenchao
AU - Lu, Jinzhi
AU - Chen, Jinwei
AU - Zheng, Xiaochen
AU - Kyritsis, Dimitrios
AU - Zhang, Huisheng
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/6
Y1 - 2020/6
N2 - With the increasing complexity of the highly engineered products, Model-based Systems Engineering (MBSE) is proposed to support the complexity management of the product development. As the basic of complexity management, complexity analysis is used to measure the system complexity for system solution trade-offs. Using traditional MBSE approaches, system architectures of product are formalized as MBSE models whose complexity measurement provides cues to quantitative trade-offs. In this paper, an MBSE approach is proposed to support complex analysis using qualitative and quantitative approaches. A GOPPRR approach is first proposed to support MBSE formalisms. Then a complexity measurement formula is used to calculate the structure complexity of the MBSE models. Finally, through a tool-chain developed based on Open Services for Lifecycle Collaboration (OSLC), a visualization tool is used to analyze the system complexity by measuring and visualizing the model complexity. A case study is proposed to evaluate the potentials of this approach for supporting product trade-offs. From the results, the approach enables to calculate complexity of MBSE models and virtualizes the model topologies.
AB - With the increasing complexity of the highly engineered products, Model-based Systems Engineering (MBSE) is proposed to support the complexity management of the product development. As the basic of complexity management, complexity analysis is used to measure the system complexity for system solution trade-offs. Using traditional MBSE approaches, system architectures of product are formalized as MBSE models whose complexity measurement provides cues to quantitative trade-offs. In this paper, an MBSE approach is proposed to support complex analysis using qualitative and quantitative approaches. A GOPPRR approach is first proposed to support MBSE formalisms. Then a complexity measurement formula is used to calculate the structure complexity of the MBSE models. Finally, through a tool-chain developed based on Open Services for Lifecycle Collaboration (OSLC), a visualization tool is used to analyze the system complexity by measuring and visualizing the model complexity. A case study is proposed to evaluate the potentials of this approach for supporting product trade-offs. From the results, the approach enables to calculate complexity of MBSE models and virtualizes the model topologies.
KW - Model-based Systems Engineering
KW - OSLC specification
KW - system complexity
KW - visualization technology
UR - https://www.scopus.com/pages/publications/85091650491
U2 - 10.1109/SoSE50414.2020.9130478
DO - 10.1109/SoSE50414.2020.9130478
M3 - 会议稿件
AN - SCOPUS:85091650491
T3 - SOSE 2020 - IEEE 15th International Conference of System of Systems Engineering, Proceedings
SP - 501
EP - 506
BT - SOSE 2020 - IEEE 15th International Conference of System of Systems Engineering, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 15th IEEE International Conference of System of Systems Engineering, SOSE 2020
Y2 - 2 June 2020 through 4 June 2020
ER -