Bayesian sampling plans for exponential distributions with interval censored samples

This article studies the problem of designing Bayesian sampling plans (BSP) with interval censored samples. First, an algorithm for deriving the conventional BSP is proposed. The BSP is shown to possess some monotonicity. Based on the BSP and using the property of monotonicity, a new sampling plan modified by the curtailment procedure is proposed. The resulting curtailed Bayesian sampling plan (CBSP) can reduce the duration time of life test experiment, and it is optimal in the sense that its associated Bayes risk is smaller than the Bayes risk of the BSP if the cost of the duration time of life test experiment is considered. A numerical example to compute the Bayes risks of BSP and CBSP and related quantities is given. Also, a Monte Carlo simulation study is performed to illustrate the performance of the CBSP compared with the BSP. The simulation results demonstrate that our proposed CBSP has better performance because it has smaller risk. The CBSP is recommended. © 2015 Wiley Periodicals, Inc. Naval Research Logistics 62: 604–616, 2015     

基于时间切片的通信计划合规性评估模型

针对体系作战背景下通信计划规划任务多线性和关系复杂的问题,提出了一种通信计划合规性评估模型。该模型通过构建计划时间切片,描述了多个通信保障任务主线在各阶段的全局关系视图,并定义了通信链路连接矩阵、电磁频谱三级规划和指控系统命名类量化,描述了通信计划的基本内容,同时定义了3类评估规则和3种评估运算法则,形成了完整的合规性评估体系。最后,通过实例分析验证了模型有效性,结果表明,评估模型能够较好地区分不同信息需求下的通信计划合理程度。     

现代战争计划的设计

现代战争的战争形态和作战样式发生了巨大改变,传统战争计划的制定难以适应新的作战指挥方式。为提高作战指挥的时效性和作战决策的正确性,对现代战争的战争计划的设计要求和设计流程进行了分析,总结了需要解决的关键技术,对深入开展战争计划的设计研究具有一定的启示。