Journal of System Simulation
Abstract
Abstract: The support of an equipment system directly affects its combat effectiveness, and the support effectiveness evaluation of equipment systems has the characteristics of large scope, multiple levels, complete elements, and long process. According to the systematic combat requirements of aircraft equipment, the difficulties in evaluating the support effectiveness of aircraft equipment systems are analyzed. The PERT-based modeling method of airfield support is proposed, and the PERT-based process model of equipment system support activity is established according to the modeling requirements and sequential characteristics of aircraft equipment support tasks. The operational model framework of combinable equipment systems based on ABMS is proposed. The modeling concepts for support entity types, equipment objects, interaction relationships, and interaction objects for system effectiveness analysis are defined. Since qualitative analyses are not able to evaluate the effectiveness of equipment system support, the influence of support elements on system combat effectiveness is analyzed by the decision-tree-based quantitative analysis method, which provides a quantitative analysis means for the forward design of system-oriented combat equipment support. In the end, the effectiveness of the proposed method and model is verified by typical application cases.
Recommended Citation
Ma, Shanzhi; Wang, Hongliang; He, Hua; and Lun, Weicheng
(2023)
"Research on Support Effectiveness Evaluation Method of Equipment Systems Based on PERT and ABMS,"
Journal of System Simulation: Vol. 35:
Iss.
9, Article 2.
DOI: 10.16182/j.issn1004731x.joss.23-0457
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol35/iss9/2
First Page
1837
Last Page
1846
CLC
TP391.9
Recommended Citation
Ma Shanzhi, Wang Hongliang, He Hua, et al. Research on Support Effectiveness Evaluation Method of Equipment Systems Based on PERT and ABMS[J]. Journal of System Simulation, 2023, 35(9): 1837-1846.
DOI
10.16182/j.issn1004731x.joss.23-0457
Included in
Artificial Intelligence and Robotics Commons, Computer Engineering Commons, Numerical Analysis and Scientific Computing Commons, Operations Research, Systems Engineering and Industrial Engineering Commons, Systems Science Commons