Deployment-to-dwell metrics and supply-based force sustainment

Q3 Decision Sciences
S. E. Evans, Gregory Steeger
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引用次数: 3

Abstract

Purpose In the present fast-paced and globalized age of war, special operations forces have a comparative advantage over conventional forces because of their small, highly-skilled units. Largely because of these characteristics, special operations forces spend a disproportionate amount of time deployed. The amount of time spent deployed affects service member’s quality of life and their level of preparedness for the full spectrum of military operations. In this paper, the authors ask the following question: How many force packages are required to sustain a deployed force package, while maintaining predetermined combat-readiness and quality-of-life standards? Design/methodology/approach The authors begin by developing standardized deployment-to-dwell metrics to assess the effects of deployments on service members’ quality of life and combat readiness. Next, they model deployment cycles using continuous time Markov chains and derive closed-form equations that relate the amount of time spent deployed versus at home station, rotation length, transition time and the total force size. Findings The expressions yield the total force size required to sustain a deployed capability. Originality/value Finally, the authors apply the method to the US Air Force Special Operations Command. This research has important implications for the force-structure logistics of any military force.
部署驻留度量和基于供应的部队维持
在当今快节奏和全球化的战争时代,特种作战部队由于其小而高技能的单位而比常规部队具有相对优势。很大程度上由于这些特点,特种作战部队花费了不成比例的部署时间。部署时间的长短影响着服役人员的生活质量和他们对各种军事行动的准备程度。在本文中,作者提出了以下问题:在保持预定战备状态和生活质量标准的同时,需要多少部队包来维持部署的部队包?设计/方法/方法作者首先开发了标准化的部署驻留度量,以评估部署对服务人员的生活质量和战备状态的影响。接下来,他们使用连续时间马尔可夫链对部署周期进行建模,并推导出与部署时间、轮换时间、过渡时间和总兵力规模相关的封闭式方程。这些表达式产生维持部署能力所需的总兵力规模。最后,将该方法应用于美国空军特种作战司令部。本研究对任何军队的部队结构后勤都具有重要的启示意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
0.90
自引率
0.00%
发文量
5
审稿时长
12 weeks
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