An exploration of the effects of maintenance manning on Combat Mission Readiness utilizing agent based modeling

Adam MacKenzie, J.O. Miller, R. Hill
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引用次数: 4

Abstract

Agent based models are powerful tools in describing processes and systems centered on individual behaviors and local interactions. Current application areas tend to be focused within the business and social science arenas, although their usefulness has been demonstrated in the modeling of various chemistry and physics-based systems and more recently, in unit-level military combat operations. Conversely, many highly process-oriented systems, such as manufacturing environments, tend to be modeled via “top-down” methods, including discrete or continuous event simulations. As a result, potentially critical attributes of the modeled entities or resources (spatial properties or adaptability) may not be adequately captured or developed. This research develops an agent based model for application to a problem heretofore addressed solely via discrete event simulation or stochastic mathematical models. Specifically, a model is constructed to investigate the effects of differing levels of maintenance manning on sortie production capability, while examining those effects on the resulting Combat Mission Readiness (CMR) of a typical F-16 squadron.
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基于智能体建模的维修人员对作战任务准备的影响研究
基于代理的模型是描述以个体行为和局部交互为中心的过程和系统的强大工具。目前的应用领域往往集中在商业和社会科学领域,尽管它们的有用性已经在各种基于化学和物理的系统的建模中得到了证明,最近在单位级军事作战行动中也得到了证明。相反,许多高度面向过程的系统,比如制造环境,倾向于通过“自顶向下”的方法建模,包括离散的或连续的事件模拟。因此,可能无法充分捕获或开发建模实体或资源的潜在关键属性(空间属性或适应性)。本研究开发了一种基于智能体的模型,用于解决迄今为止仅通过离散事件模拟或随机数学模型解决的问题。具体来说,构建了一个模型来研究不同水平的维护人员对架次生产能力的影响,同时检查这些对典型F-16中队的战斗任务准备(CMR)的影响。
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