A Markovian model for process setup and improvement

We examine the setup and improvement policies for a production process with multiple performance states. Assume that the production process deteriorates randomly over time, following a Markovian process with known transition probabilities. In order to reduce the production cost incurred because of process deterioration, the process is inspected at the end of each period. Then one of three actions may be taken: do nothing, perform routine process setup, or perform routine setup and process improvement. The routine setup operation returns the process to its best performance state, whereas the process improvement action may reduce future production and setup costs and improve the process-state transition probabilities. A discounted Markovian model is formulated to find the strategy that minimizes the total cost of operating the production process. © 1997 John Wiley & Sons, Inc. Naval Research Logistics 44: 383–400, 1997     

Scheduling jobs with random processing times on a single machine subject to stochastic breakdowns to minimize early-tardy penalties

We examine the problem of scheduling n jobs with a common due date on a single machine. The processing time of each job is a random variable, which follows an arbitrary distribution with a known mean and a known variance. The machine is not reliable; it is subject to stochastic breakdowns. The objective is to minimize the expected sum of squared deviations of job completion times from the due date. Two versions of the problem are addressed. In the first one the due date is a given constant, whereas in the second one the due date is a decision variable. In each case, a general form of the deterministic equivalent of the stochastic scheduling problem is obtained when the counting process related to the machine uptime distribution is a generalized Poisson process. A sufficient condition is derived under which optimal sequences are V-shaped with respect to mean processing times. Other characterizations of optimal solutions are also established. Based on the optimality properties, algorithms with pseudopolynomial time complexity are proposed to solve both versions of the problem. © 1996 John Wiley & Sons, Inc.     

防空C~3I系统战前辅助决策的MADM模型及框架设计

存在于Ｃ３Ｉ系统中的决策是大量且复杂的。首先详细分析了野战防空Ｃ３Ｉ系统战前决策的五个基本内容;然后,根据多属性决策（ＭＡＤＭ）理论,提出了一种统一的战前辅助决策的ＭＡＤＭ模型,并从实际出发,给出了求解随机的ＡＤＭ问题的三个适用方法;最后讨论了辅助决策系统的枢架设计及实现方法。     

有外中子源时点堆中子动力学方程组的精确解

采用去耦合法,在未作任何假定的条件下,导出了点堆中子动力方程组的精确解。此解可通用于反应堆启动,次临界、缓发超临界,一直到瞬发超临界。此解计算精度高,可用于要求计算精度较高的定量分析,计算工作量小,可用手算。对于反应堆现场运行监督性快速估计的计算,尤为适宜。     

矿产统计预报的多元信息复合方法及预测模型

如何有效地利用多种信息进行矿产统计预报是一个有经济效益的课题。本文运用多信息复合思想,采用回归分析、判别分析和集成预报等方法使矿物预报的正确概率大大提高。     

型号研制技术状态管理

论述了型号工程研制项目的技术状态管理目标、技术状态管理的４个基本功能（即标识、控制、状态记实与审核）的管理过程,及３个技术状态基线建立的时机。     

非英语专业研究生英语课程的改革势在必行

大学英语教学改革的开展是非英语专业研究生英语教学改革的前提。文章分析了大学英语教学改革与非英语专业研究生英语教学现状,指出研究生英语教学的现况远滞后于社会发展的现实和研究生英语教学的需求,强调转变教学理念,改革教学方法,更新教学手段是非英语专业研究生英语课程教学改革的方向。     

国内外安全标准现状与发展及其对构建国防工业安全标准体系的启示

介绍了国外发达国家、先进组织机构安全标准及体系的现状与特点,分析了国内安全标准的制修订情况和危险化学品、防尘防毒安全生产标准体系的分类与构成。在分析国防科技工业安全标准现状的基础上,提出了构建国防工业安全标准体系的主要任务和实施要求。     

矩形波导结构潘尼管工作特性的分析

本文导出了一般TE_(no)模矩形波导结构潘尼管的色散方程,对潘尼管作了更明确的解释,并详细计算了TE_(20)模潘尼管的色散方程,得到其基波和第三次谐波同步谐振的色散曲线。该曲线表明,潘尼管在基波谐振上有1.5%的增长率,而在第三次谐波上有0.8%的平均增长率。此外,用非线性理论分析基波和第三次谐波同步谐振时的工作情况,给出了电子饱和时的电子分布图。在常直流磁场下优化结果表明,潘尼管在其次谐振时有51%的高效率和QP_w=9949.9MW 的输出功率,而在第三次谐振时有11%的效率和QP_w=1741.8MW 的输出功率。     

噪声统计的Bayes 极大验后估计与系统自适滤波

对于具有测量的线性离散系统,在系统动力学噪声与测量统计特性未知的情况下,本文推导出了噪声统计特性在具有正态－逆Ｗｉｓｈａｒｔ分布验前信息情况之下的Ｂａｙｅｓ极大验后（ＭＡＰ）估计及其实时迫近,从而获得了系统的自适应滤波