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| Optimization Research on Missile Service Support Based on Discrete Event Simulation and Multi-Stage Pipeline Process Model |
| WANG Yu1， CHENG Zhijun1， MA Zhenyang2， HUANG Jiantao2 |
| 1. School of Systems Engineering， National University of Defense Technology， Changsha 410073， Hunan， China；
2. Fourteenth Branch Bureau， Jiuquan 735000， Gansu， China |
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Abstract To address the complexity of large-scale air-to-air missile service support processes, the high risks and costs associated with live exercises, which result in support units lacking precise knowledge of their daily support capacities for different missile types, this paper proposes a service support optimization method based on discrete event simulation and a multi-stage pipeline model. First, for the problem of maximizing daily support capacity for a single missile type, a single-type missile service support scaling model is established based on personnel heterogeneity and rest mechanisms, using a minute-level event advancement strategy to accurately depict resource competition and cooperation throughout the multi-stage support process. Second, to address the problem of interleaved support for multiple missile types, a two-level “order-batch” management system is constructed on the single-type model, and a heuristic dynamic scheduling strategy based on the shortest processing time (SPT) is proposed. Simulation results indicate that the model can effectively solve the 24-hour maximum support quantities for various missile types, with M1-M4 missiles reaching 824, 956, 956, and 362 units, respectively; under a high-pressure scenario with a total load of 0.913, the proposed scheduling strategy successfully completes multiple order dynamic support tasks, with system resource utilization reaching up to 75.2%. This study provides both theoretical foundations and practical tools for assessing and optimizing service support capacities for missiles and similar complex equipment.
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Received: 11 March 2026
Published: 10 July 2026
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2026, Vol. 9 
