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AbstractThe utilization of health care services by veterans has received much attention in recent years. However, the impact of the large array of factors affecting the veterans’ demand for health care services remains understudied. These factors include individual socio-demographic and economic characteristics, the availability of various sources of health insurance, and the prevalence of medical conditions. We use public data to analyze how veterans’ utilization of health care services varies with these factors. We also analyze how the reliance on VA services varies when alternative sources of health insurance are available to veterans. Based on the estimated relationships, we use a micro-simulation model to forecast future health care utilization, both inside and outside of VA. 相似文献
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随着政治工作信息资源管理的需要,运用元数据来描述政治工作信息资源正逐渐成为普遍趋势,由于政治工作信息资源来源广泛种类复杂,如果缺乏顶层设计,势必会造成元数据标准不统一不规范的现象,从而影响政治工作信息资源管理。文章研究军队政治工作信息资源元数据标准的内涵,阐述其在政治工作信息化建设中的作用价值,提出具体设计应该遵循的原则和步骤。 相似文献
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防空监视网络传感器资源分配的最优化 总被引:1,自引:0,他引:1
针对防空监视网络的传感器管理问题,讨论了传感器资源分配的最优化方法。提出了把传感器资源分配问题映射为多代理系统分布约束最优化问题的解决策略,设计了基于约束代价下界搜索的异步分枝定界最优化算法,实现了传感器资源分配问题最优解的异步并行搜索,给出的仿真实例说明了传感器资源分配最优化方法的有效性。 相似文献
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针对资源受限情形下的两阶段攻防资源分配问题,提出一种基于多属性决策的资源分配对策模型。防守者首先将有限的防护资源分配到不同的目标上,继而进攻者选择一种威胁组合方式对目标实施打击。基于博弈论相关知识,模型的求解结果可以使防守者最小化自身损失,使进攻者最大化进攻收益。同时,针对模型的特点,给出了一些推论和证明。通过一个示例验证了模型的合理性以及相关推论的准确性,能够为攻、防双方规划决策提供辅助支持。 相似文献
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Sanjay Mehrotra Hamed Rahimian Masoud Barah Fengqiao Luo Karolina Schantz 《海军后勤学研究》2020,67(5):303-320
We present a stochastic optimization model for allocating and sharing a critical resource in the case of a pandemic. The demand for different entities peaks at different times, and an initial inventory for a central agency are to be allocated. The entities (states) may share the critical resource with a different state under a risk-averse condition. The model is applied to study the allocation of ventilator inventory in the COVID-19 pandemic by FEMA to different U.S. states. Findings suggest that if less than 60% of the ventilator inventory is available for non-COVID-19 patients, FEMA's stockpile of 20 000 ventilators (as of March 23, 2020) would be nearly adequate to meet the projected needs in slightly above average demand scenarios. However, when more than 75% of the available ventilator inventory must be reserved for non-COVID-19 patients, various degrees of shortfall are expected. In a severe case, where the demand is concentrated in the top-most quartile of the forecast confidence interval and states are not willing to share their stockpile of ventilators, the total shortfall over the planning horizon (until May 31, 2020) is about 232 000 ventilator days, with a peak shortfall of 17 200 ventilators on April 19, 2020. Results are also reported for a worst-case where the demand is at the upper limit of the 95% confidence interval. An important finding of this study is that a central agency (FEMA) can act as a coordinator for sharing critical resources that are in short supply over time to add efficiency in the system. Moreover, through properly managing risk-aversion of different entities (states) additional efficiency can be gained. An additional implication is that ramping up production early in the planning cycle allows to reduce shortfall significantly. An optimal timing of this production ramp-up consideration can be based on a cost-benefit analysis. 相似文献
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在资源受限项目调度问题中,将可再生资源进一步拓展为具有能力差异的柔性资源,建立考虑能力差异的柔性资源受限的多模式项目调度问题模型,该模型是对传统资源约束项目调度问题(RCPSP)更接近实际的拓展。提出了基于粒子群算法的求解算法,粒子群算法求解该模型的思路为,利用蒙特卡洛方法根据资源-能力矩阵与活动模式-能力矩阵得到活动模式-资源矩阵,将考虑能力差异的柔性资源受限的多模式项目调度问题转换为常规的多模式项目调度问题,然后利用基于任务序列与模式表示的粒子群算法对该多模式项目调度问题进行求解。用数值实例说明了模型的合理性与算法的有效性。 相似文献
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针对云平台上有向无环图科学应用执行容易产生虚拟机资源过剩、资源使用率低及费用虚高的问题,给出一种基于关键路径截取的有向无环图应用调度算法。该算法采取关键路径截取技术,循环找出最晚完成的未分配任务,从该任务出发,在所有未分配任务构成的图中找出最大连通子图,并计算该子图的关键路径,然后将关键路径上的任务集调度到性能匹配的虚拟机上执行;同时通过任务回填技术充分利用虚拟机的空闲时间槽,提高资源使用率。实验结果表明,在云计算平台上,该算法不仅能够在截止时间内完成有向无环图科学应用,而且可以提高资源使用率,有效减少完成该应用所需整体费用。 相似文献