Mission-driven equipment supportability analysis and optimization

doi:10.23919/JSEE.2026.000139

Abstract

Abstract:

Supportability simulation analysis has emerged as a cost-effective alternative to physical experimentation for enhancing the logistics capacity of equipment support, especially in complex combat scenarios. However, key issues such as support scheme planning, resource optimization, and comprehensive analysis of the reliability, maintainability, supportability, and testability (RMST) indices are seldom explored in depth. This paper proposes mission-driven methods for equipment supportability analysis and optimization. Firstly, a supportability modeling and optimization framework, along with a mission-driven support activity simulation, is presented to describe the complex interaction between large-scale equipment and resources. Then, an optimization model for resource allocation based on simulation is developed, and a heuristic method is introduced to solve the problem. Fault uncertainty is incorporated into the support activities to integrate the RMST indices of the equipment. A Monte Carlo simulation is then used to comprehensively evaluate these RMST indices. Finally, a numerical example is used to validate the proposed methodology. The experimental results demonstrate that the presented approach successfully performs simulation, analysis, and optimization of the support activity, and the equipment deployment results in 93.29% availability, which can provide reliable decision support for equipment operation and logistics.

Key words: mission-driven, supportability simulation, reliability, maintainability, supportability, and testability (RMST) demonstration, support activity planning, support resource optimization

Zhiwei Chen, Yulu Zhang, Weiwei Cui, Dongpao Hong, Hongyan Dui. Mission-driven equipment supportability analysis and optimization[J]. Journal of Systems Engineering and Electronics, 2026, 37(5): 1574-1586.

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Property	Type
Identification	Positive integer
Current procedure	Positive integer
Procedure processing time	Positive integer
State	String, {waiting, occupying, completed}
Resource currently in service for this equipment	String
State vector	String vector

Property	Type
Type	String
Identification in this resource type	Positive integer
State	String, {waiting, serving}
Equipment identification served by this resource	Positive integer
State vector	String vector

Time	1	2	3	···	end T−1	end T
State	Awaiting	Awaiting	Serving	···	Completed	Completed

Procedure	R1	R2	R3	R4	R5	R6
P1	1	0	0	0	0	0
P2	0	1	0	0	0	0
P3	0	0	1	0	0	0
P4	0	0	1	1	0	0
P5	0	0	1	0	1	0
P6	0	0	1	1	0	0
P7	0	0	1	0	0	1
P8	0	0	1	0	0	0

Resource type	R1	R2	R3	R4	R5	R6
Number	1	1	5	2	2	2