Value management of diagnostic equipment with cancelation,no‐show,and emergency patients

Magnetic resonance imaging and other multifunctional diagnostic facilities, which are considered as scarce resources of hospitals, typically provide services to patients with different medical needs. This article examines the admission policies during the appointment management of such facilities. We consider two categories of patients: regular patients who are scheduled in advance through an appointment system and emergency patients with randomly generated demands during the workday that must be served as soon as possible. According to the actual medical needs of patients, regular patients are segmented into multiple classes with different cancelation rates, no‐show probabilities, unit value contributions, and average service times. Management makes admission decisions on whether or not to accept a service request from a regular patient during the booking horizon to improve the overall value that could be generated during the workday. The decisions should be made by considering the cancelation and no‐show behavior of booked patients as well as the emergency patients that would have to be served because any overtime service would lead to higher costs. We studied the optimal admission decision using a continuous‐time discrete‐state dynamic programming model. Identifying an optimal policy for this discrete model is analytically intractable and numerically inefficient because the state is multidimensional and infinite. We propose to study a deterministic counterpart of the problem (i.e., the fluid control problem) and to develop a time‐based fluid policy that is shown to be asymptotically optimal for large‐scale problems. Furthermore, we propose to adopt a mixed fluid policy that is developed based on the information obtained from the fluid control problem. Numerical experiments demonstrate that this improved policy works effectively for small‐scale problems. © 2016 Wiley Periodicals, Inc. Naval Research Logistics 63: 287–304, 2016     

对军队院校考核模式改革的思考

考核是军队院校教育教学中的重要组成部分，加强考核模式改革事关军队院校教育的全局。应根据军队院校考核模式的特点、存在的问题以及多元互动式教学模式的构建，为军队院校考核改革提出解决之策。     

我军预算执行控制的现状分析及对策

目前我军预算执行控制存在主体缺位、目标偏移、机制不顺、责任不明、力度不强等问题，其原因来自权力因素、机制因素、制度因素、程序因素。加强预算执行控制的对策包括：规范预算执行制度、建立军队预算支出绩效评价体系、设计适用现代化监控的技术手段。     

武器系统研制单位管理水平的贝叶斯评估分析

将Bayes理论应用于对武器系统研制单位管理水平的评估.克服了验前评估方法主观性大的缺陷,充分利用收集到的补充信息,对评估结果作了后验预分析,得到了更加可信的评估结论,从而改进了决策过程.     

基于效能分析的工程建设投资分配模型研究

分析了基数滚动切块和层次分析-目标规划(AnalyticHierarchyProcessandGoalProgramming)投资分配模型的利弊,探讨了工程建设投资效能的估计方法,研究建立了基于效能分析的投资分配优化模型.该模型经实际算例分析证明,模型的思路清晰,便于理解和操作,具有较好的实用性.     

一种基于多层次网格的高效相关过滤方法

在分布式仿真系统中 ,网上流动的大量冗余数据严重影响了系统的可伸缩性。基于均匀网格的相关过滤法减少了冗余数据 ,但具有匹配不精确 ,格子尺寸单一 ,难以适应所有实体的缺点。提出了一种基于多层次网格的相关过滤方法 ,克服了均匀网格法的上述缺点 ,并继承了均匀网格法处理速度快的特点 ,具有快速灵活的特点     

MUOS网络管理与控制技术的研究

介绍了美军移动用户目标系统MUOS(Mobile User Objective System),分析和总结了该系统下网络管理体系结构和运行机制,并就其实现中的关键技术进行了深入研究,得到了一些对我国有借鉴意义的结论。     

和谐思维与部队思想政治教育职能优化

军队思想政治教育要适应和谐社会的要求,一方面深化调节,注重满足军人自身发展的需要,引导官兵建立与和谐社会相融合的人际关系;另一方面,运用“和”的思想解决矛盾和问题,达到对官兵负面思想的有效控制。     

加强高校预算管理的思考

预算管理是高校财务管理的核心，加强高校预算管理，能促进高校事业计划顺利完成，有效提高各项资金的使用效益。本文通过对高校预算管理的内容、特点及不足的分析，提出了加强高校预算管理的对策。     

Strategic hedging in Indonesia’s defense diplomacy

With the rapid pace of regional arms modernization and unresolved territorial disputes, Indonesia is increasingly susceptible to the impact of emerging great power rivalry in Asia-Pacific. Rather than pursuing a robust military build-up, Indonesian policy-makers assert that diplomacy is the country’s first line of defense. This article argues that defense diplomacy serves two agenda of Indonesia’s hedging strategy – strategic engagement and military modernization. This way, Indonesian defense and security officials seek to moderate the impact of geopolitical changes while maintaining the country’s defensive ability against regional uncertainties.