装备保障平台战时运用优化决策分析模型

针对装备保障平台战时如何优化运用的问题,根据平台在机动中遭敌火力打击及自我维修过程所具有的马尔可夫性特点,将受打击时间按照打击次数离散化,从而将该过程描述为状态离散、时间离散的马尔可夫链,由此构建了无条件自我维修和有条件自我维修的马尔可夫链模型,实现了单平台战时运用优化决策。基于战场抢修率最大化的目标,运用规划理论,构建了综合考虑遭敌打击的装备保障平台编组优化模型,提出了平台编组战时运用优化决策分析方法。应用实例表明,所建模型运算简单、方便、实用,能为指挥员在战时科学使用装备保障平台提供决策依据。

Optimization decision analysis model of equipment supportplatform wartime application

For equipment support platform wartime application optimization, because of the Markov property of being fire attacked and maintenance during the maneuver process, the fireattack time is viewed as a discrete parameter according to the attack number, thus the process is described as a discrete-state and discrete-time Markov chain. Hereby, Markovchain models with unconditional self-maintenance and conditional self-maintenance are established, and optimization decision analysis on a single equipment support platformwartime application is performed. Based on the objective of maximizing the battlefield repair rate, the equipment support platform unit optimization model considering being fireattacked is established by using the programming theory, and thus the optimization decision analysis approach to platform unit wartime application is proposed. Finally, theresults of case study show that the proposed models are simple, convenient and practical, which can provide decision basis for a commander to deploy reasonably equipment supportplatforms in wartime.