一个具有相互独立、不同分布服务时间序列的排队模型

讨论的排队模型 ,放宽了GI/G/1系统中“服务时间独立同分布”的限制 ,只要求各服务时间相互独立 ,因而较GI/G/1排队模型能更合理地拟合实际问题 .在此较宽的条件下 ,利用补充变量的方法 ,求得了该排队系统队长的瞬时分布     

分布式数据库系统中数据一致性维护方法研究

分布式数据库系统是数据库领域中的一个主要研究方向 ,数据一致性维护是分布式数据库系统中的一个非常关键的技术问题。在深入分析和比较各种维护数据一致性方法的基础上 ,提出了一种较为有效的维护数据一致性的方法 ,详细论述了该方法如何解决并发执行引起的冲突问题 ,以及如何利用消息队列机制保持各数据副本的一致     

一种薄透镜焦距测定中共轴调节方法讨论

结合二次成像法透镜焦距测定实验,研究总结出两种共轴调节方法,其特点是操作的指导思想明确,方法简单方便,可迅速准确的达到共轴调节目的。     

基于Stateflow的排队系统仿真方法

论述了排队系统与Stateflow相关概念,利用有限状态机理论与面向对象编程思想,提出了建立基于Stateflow排队系统模型的分析步骤,阐述了应用Stateflow对排队系统进行建模与仿真的方法,使用Stateflow对M／M／1／∞／∞／FIFO类型排队系统进行了具体的建模与仿真。仿真结果表明,基于Stateflow的模型与仿真能够有效地描述排队系统的统计特性,并具有可视化、流程化和层次化的特点。     

Performance and properties of Q‐Statistic monitoring schemes

In this article, we study the Shewhart chart of Q statistics proposed for the detection of process mean shifts in start‐up processes and short runs. Exact expressions for the run‐length distribution of this chart are derived and evaluated using an efficient computational procedure. The procedure can be considerably faster than using direct simulation. We extend our work to analyze the practice of requiring multiple signals from the chart before responding, a practice sometimes followed with Shewhart charts. The results show that waiting to receive multiple signals severely reduces the probability of quickly detecting shifts in certain cases, and therefore may be considered a risky practice. Operational guidelines for practitioners implementing the chart are discussed. © 2009 Wiley Periodicals, Inc. Naval Research Logistics, 2009     

真比例导引律的解析解研究

描述比例导引律的模型都是非线性微分方程组,不易求解,常规求解方法是线性化.对真比例导引律进行了详细推导,并和纯比例导引律进行了比较和分析,通过坐标变换和引入相对运动的单位角动量,获得了解析的捕获域和截获时间.研究结果表明,真比例导引律的捕获域受到导航比的限制,纯比例导引律的捕获域在一定条件下不受导航比限制.     

用Excel演示Floyd算法

Floyd算法是计算最短路径长度的基本算法之一,若用Excel实现,算法的核心部分只需填写一个公式,比通常的四重循环结构算法简单、直观。     

Monitoring censored lifetime data with a weighted‐likelihood scheme

Lifetime experiments are common in many research areas and industrial applications. Recently, process monitoring for lifetime observations has received increasing attention. However, some existing methods are inadequate as neither their in control (IC) nor out of control (OC) performance is satisfactory. In addition, the challenges associated with designing robust and flexible control schemes have yet to be fully addressed. To overcome these limitations, this article utilizes a newly developed weighted likelihood ratio test, and proposes a novel monitoring strategy that automatically combines the likelihood of past samples with the exponential weighted sum average scheme. The proposed Censored Observation‐based Weighted‐Likelihood (COWL) control chart gives desirable IC and OC performances and is robust under various scenarios. In addition, a self‐starting control chart is introduced to cope with the problem of insufficient reference samples. Our simulation shows a stronger power in detecting changes in the censored lifetime data using our scheme than using other alternatives. A real industrial example based on the breaking strength of carbon fiber also demonstrates the effectiveness of the proposed method. © 2016 Wiley Periodicals, Inc. Naval Research Logistics 63: 631–646, 2017     

一类拟单生过程与GI/PH/1排队

利用结构矩阵分析的方法得到了一类拟单生过程在离散情形时普通遍历、Ⅰ遍历和几何遍历的关系,并利用得到的结论对排队论中的一类问题作了处理,因而具有理论和实际应用的价值。     

Monitoring poisson count data with probability control limits when sample sizes are time varying

This article considers the problem of monitoring Poisson count data when sample sizes are time varying without assuming a priori knowledge of sample sizes. Traditional control charts, whose control limits are often determined before the control charts are activated, are constructed based on perfect knowledge of sample sizes. In practice, however, future sample sizes are often unknown. Making an inappropriate assumption of the distribution function could lead to unexpected performance of the control charts, for example, excessive false alarms in the early runs of the control charts, which would in turn hurt an operator's confidence in valid alarms. To overcome this problem, we propose the use of probability control limits, which are determined based on the realization of sample sizes online. The conditional probability that the charting statistic exceeds the control limit at present given that there has not been a single alarm before can be guaranteed to meet a specified false alarm rate. Simulation studies show that our proposed control chart is able to deliver satisfactory run length performance for any time‐varying sample sizes. The idea presented in this article can be applied to any effective control charts such as the exponentially weighted moving average or cumulative sum chart. © 2013 Wiley Periodicals, Inc. Naval Research Logistics 60: 625–636, 2013