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A multi-modal discrete-event simulation model for military deployment

机译:军事部署多模式离散事件仿真模型

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摘要

This paper introduces a logistics and transportation simulation that can be used to provide insights into potential outcomes of proposed military deployment plans. More specifically, we model a large-scale real-world military deployment planning problem (DPP) that involves planning the movement of military units from their home bases to their final destinations using different transportation assets on a multi-modal transportation network. We apply, for the first time, the event graph methodology and listener event graph object framework to create a simulation model of the DPP. We use and extend Simkit, an open-source Java Application Programming Interface for creating discrete-event simulation (DES) models. We use a medium-resolution modeling approach, as opposed to either high-resolution or low-resolution modeling paradigms, to reduce lengths of simulation runs without compromising reality. To accurately incorporate real and detailed transportation network data into the simulation, we use GeoKIT, a licensed, state-of-the-art, Java-based geographical information system. While our DES model is not a panacea for all, it allows for testing the feasibility and sensitivity of deployment plans under stochastic conditions prior to committing members of the military into harm's way. The purpose of the paper is to acquaint the readers with the details of the DPP, the simulation model created, and the results of the analysis of a typical real-world case study.
机译:本文介绍了一种物流和运输模拟,可用于深入了解拟议的军事部署计划的潜在结果。更具体地说,我们对大规模的现实世界军事部署计划问题(DPP)进行建模,该问题涉及在多式联运网络上使用不同的运输资产来计划军事单位从其基地到最终目的地的移动。我们首次将事件图方法和侦听器事件图对象框架应用于创建DPP的仿真模型。我们使用并扩展了Simkit,这是一个开放源代码的Java应用程序编程接口,用于创建离散事件仿真(DES)模型。与高分辨率或低分辨率建模范例相反,我们使用中等分辨率建模方法来减少模拟运行的时间,而又不影响现实。为了将真实和详细的交通网络数据准确地纳入模拟中,我们使用了GeoKIT,这是一种经过许可的,基于Java的最新技术的地理信息系统。尽管我们的DES模型并不是万能的万能药,但它允许在将军方成员置于伤害之路之前,在随机条件下测试部署计划的可行性和敏感性。本文的目的是使读者熟悉DPP的详细信息,创建的仿真模型以及典型的实际案例研究的分析结果。

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