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A technique for determining viable military logistics support alternatives.

机译：确定可行的军事后勤保障替代方案的技术。

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A look at today's US military will see them operating much beyond the scope of protecting and defending the United States. These operations now consist of, but are not limited to humanitarian aid, disaster relief, peace keeping, and conflict resolution. This broad spectrum of operational environments has necessitated a transformation of the individual military services to a hybrid force that is attempting to leverage the inherent and emerging capabilities and strengths of all those under the umbrella of the Department of Defense (DOD), this concept has been coined Joint Operations.;Supporting Joint Operations requires a new approach to determining a viable military logistics support system. The logistics architecture for these operations has to accommodate scale, time, varied mission objectives, and imperfect information. Compounding the problem is the human in the loop (HITL) decision maker (DM) who is a necessary component for quickly assessing and planning logistics support activities. Past outcomes are not necessarily good indicators of future results, but they can provide a reasonable starting point for planning and prediction of specific needs for future requirements.;Adequately forecasting the necessary logistical support structure and commodities needed for any resource intensive environment has progressed well beyond stable demand assumptions to one in which dynamic and nonlinear environments can be captured with some degree of fidelity and accuracy. While these advances are important, a holistic approach that allows exploration of the operational environment or design space does not exist to guide the military logistician in a methodical way to support military forecasting activities. To bridge this capability gap, a method called Adaptive Technique for Logistics Architecture Solutions (ATLAS) has been developed. This method provides a process that facilitates the use of techniques and tools that filter and provide relevant information to the DM. By doing so, a justifiable course of action (COA) can be determined based on a variety of quantitative and qualitative information available.;This thesis describes and applies the ATLAS method to a notional military scenario that involves the Navy concept of Seabasing and the Marine Corps concept of Distributed Operations applied to a platoon sized element. The small force is tasked to conduct deterrence and combat operations over a seven day period. This work uses modeling and simulation to incorporate expert opinion and knowledge of military operations, dynamic reasoning methods, and certainty analysis to create a decisions support system (DSS) that can be used to provide the DM an enhanced view of the logistics environment and uses variables that impact specific measures of effectiveness.;The results from applying the ATLAS method provide a better understanding and ability for the DM to conduct the logistics planning/execution more efficiently and quickly. This is accomplished by providing relevant data that can be applied to perform dynamic forecasting activities for the platoon and aids in determining the necessary support architecture to fulfill the forecasted need.
机译：纵观当今的美军，他们将在保护和捍卫美国的范围之外开展更多活动。这些行动现在包括但不限于人道主义援助，disaster灾，维持和平和解决冲突。这种广泛的作战环境需要将单个军事部门转变为混合型部队，以利用国防部（DOD）旗下所有部队的内在能力和新兴能力和优势。联合作战。支持联合作战需要一种新方法来确定可行的军事后勤支持系统。这些行动的后勤架构必须适应规模，时间，各种任务目标和不完善的信息。使问题更加复杂的是决策者（DM），这是快速评估和计划后勤支持活动的必要组成部分。过去的结果不一定是未来结果的良好指标，但是它们可以为规划和预测未来需求的特定需求提供一个合理的起点。;充分预测任何资源密集型环境所需的必要后勤支持结构和商品已经远远超出了稳定的需求假设，其中可以一定程度的保真度和准确性捕获动态和非线性环境。尽管这些进步很重要，但尚不存在能够探索作战环境或设计空间的整体方法来以有条理的方式指导军事后勤人员支持军事预测活动。为了弥合这种能力差距，已经开发了一种称为“物流体系结构解决方案自适应技术”（ATLAS）的方法。此方法提供了一个过程，该过程有助于使用过滤和向DM提供相关信息的技术和工具。通过这样做，可以基于各种可用的定量和定性信息来确定合理的行动方案（COA）。；本文描述了ATLAS方法并将其应用于涉及海军海基和海事概念的概念军事场景兵团的分布式作战概念适用于排大小的元素。这支小部队的任务是在7天的时间内进行威慑和作战。这项工作使用建模和仿真方法来融合专家意见和军事行动知识，动态推理方法以及确定性分析，以创建决策支持系统（DSS），该系统可用于向DM提供物流环境的增强视图并使用变量应用ATLAS方法的结果为DM提供了更好的理解和能力，使DM可以更有效，更快速地进行物流计划/执行。这是通过提供可用于执行排的动态预测活动并帮助确定必要的支持架构来满足预测需求的相关数据来完成的。

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