Journal of System Simulation
Abstract
Abstract: Aiming at the problems of insufficient decision-making ability and low operational efficiency of the flight ground support process, a decision support model of the flight ground support process based on the department of defense architecture framework (DoDAF) is proposed. Starting from the support operation, support resources, and the relationship between them, the quantitative description of the flight ground support process is performed. DoDAF and the model-based systems engineering (MBSE) modeling method are combined to establish a decision support model of the flight ground support process. The decision utility function is established to analyze the utility value of the comprehensive support of each link of flight support. The actual data are compared with the data obtained from the decision support model. The results show that the mean absolute error and the root mean square error between the off-block time after the decision and the target off-block time are reduced by 1.42 min and 0.95 min, respectively, compared to those between the actual off-block time and the target off-block time. For flights of different aircraft types, the relative errors between the support service time and the planned support service time after the decision are reduced by 31%, 17%, and 42% compared with those before the decision, and the relationship between support time and support utility can be obtained, which proves the feasibility and effectiveness of the proposed decision model.
Recommended Citation
Xing, Zhiwei; Yu, Ruiwen; Li, Biao; and Chen, Zhaoxin
(2024)
"Modeling for Decision Support of Flight Ground Support Process,"
Journal of System Simulation: Vol. 36:
Iss.
11, Article 5.
DOI: 10.16182/j.issn1004731x.joss.23-0870
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol36/iss11/5
First Page
2552
Last Page
2565
CLC
TP391.9
Recommended Citation
Xing Zhiwei, Yu Ruiwen, Li Biao, et al. Modeling for Decision Support of Flight Ground Support Process[J]. Journal of System Simulation, 2024, 36(11): 2552-2565.
DOI
10.16182/j.issn1004731x.joss.23-0870
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