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AN EXPLORATION OF THE EFFECTS OF MAINTENANCE MANNING ON COMBAT MISSION READINESS UTILIZING AGENT BASED MODELING

机译:维修曼宁对基于代理建模的作战任务准备影响的探讨

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摘要

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.
机译:基于代理的模型是描述以各个行为和本地交互为中心的进程和系统的强大工具。目前的应用领域倾向于重点关注商业和社会科学竞技场,尽管在单位级军事战斗业务中,它们在各种化学和物理系统的建模中已经证明了它们的实用性。相反,诸如制造环境的许多高度过程导向系统,往往通过“自上而下”方法进行建模,包括离散或连续事件模拟。结果,可能无法充分捕获或开发建模实体或资源(空间属性或适应性)的潜在关键属性。本研究开发了一种基于代理的代理模型,用于应用于迄今为止通过离散事件模拟或随机数学模型解决的问题。具体地,构建一种模型,以研究不同水平的维护范围水平对分类生产能力的影响,同时检查对典型F-16中队的产生战斗任务准备(CMR)的影响。

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