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

Adam MacKenzie, J.O. Miller, R. Hill
{"title":"An exploration of the effects of maintenance manning on Combat Mission Readiness utilizing agent based modeling","authors":"Adam MacKenzie, J.O. Miller, R. Hill","doi":"10.1109/wsc.2010.5679053","DOIUrl":null,"url":null,"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.","PeriodicalId":272260,"journal":{"name":"Proceedings of the 2010 Winter Simulation Conference","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2010 Winter Simulation Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/wsc.2010.5679053","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.
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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信