Modeling and analysis of a mixed‐model assembly line with stochastic operation times

We consider a mixed‐model assembly line (MMAL) comprised a set of workstations and a conveyor. The workstations are arranged in a serial configuration. The conveyor moves at a constant speed along the workstations. Initial units belonging to different models are successively fed onto the conveyor, and they are moved by the conveyor to pass through the workstations to gradually generate final products. All assembling tasks are manually performed with operation times to be stochastic. An important performance measure of MMALs is overload times that refer to uncompleted operations for operators within their work zones. This paper establishes a method to analyze the expected overload times for MMALs with stochastic operation times. The operation processes of operators form discrete time nonhomogeneous Markov processes with continuous state spaces. For a given daily production schedule, the expected overload times involve in analyzing the Markov processes for finite horizon. Based on some important properties of the performance measure, we propose an efficient approach for calculating the expected overload times. Numerical computations show that the results are very satisfactory. © 2007 Wiley Periodicals, Inc. Naval Research Logistics, 2007     

Combining standardized time series area and Cramér–von Mises variance estimators

We propose three related estimators for the variance parameter arising from a steady‐state simulation process. All are based on combinations of standardized‐time‐series area and Cramér–von Mises (CvM) estimators. The first is a straightforward linear combination of the area and CvM estimators; the second resembles a Durbin–Watson statistic; and the third is related to a jackknifed version of the first. The main derivations yield analytical expressions for the bias and variance of the new estimators. These results show that the new estimators often perform better than the pure area, pure CvM, and benchmark nonoverlapping and overlapping batch means estimators, especially in terms of variance and mean squared error. We also give exact and Monte Carlo examples illustrating our findings.© 2007 Wiley Periodicals, Inc. Naval Research Logistics, 2007     

Estimation of average backorders for an assemble‐to‐order system with random batch demands through extreme statistics

We investigate inventory management for a large‐scale multi‐product, multi‐component Assemble‐to‐Order system with general random batch demands. Results from extreme statistics theory are applied in developing approximation schemes for a widely used performance measure, customer backorders. © 2006 Wiley Periodicals, Inc. Naval Research Logistics, 2007     

分级燃烧循环发动机变工况的模糊控制

研究了一种模糊控制方法 ,并用于分级燃烧循环液体火箭发动机变工况过程的反馈控制。仿真研究表明 :在抑制参数抖振方面 ,模糊控制优于一般的变结构控制     

强干扰下LFM信号的检测与参数估计

强干扰下ＬＦＭ信号的检测与参数估计在雷达信号处理领域具有重要的应用。本文首先分析了强干扰下ＬＦＭ信号的特点,对ＬＦＭ信号的检测与参数估计方法进行了总结和比较;随后研究了ＷＨＴ法的检测性能,绘制了ＷＨＴ检测器的接收机性能曲线（ＲＯＣ）。最后,提出一种基于ＷＨＴ的抑制强干扰和进行ＬＦＭ信号检测与参数估计的方法,并给出了实验结果。     

导弹飞行时安全系统保险失效时间的分布模型

根据安全系统在导弹飞行过程中受外界环境信息的冲击而解除保险这一物理过程,推断了安全系统的保险失效时间服从截尾Ｇａｍ ｍ ａ 分布模型,并讨论了在保险失效建模和评估等统计过程中非常有用的截尾Ｇａｍ ｍ ａ 分布的一些特性。     

Φ2mm丝材电弧喷涂工艺对涂层结合强度的影响

分析了喷砂预处理和电弧喷涂这两个过程的工艺参数对涂层的结合强度的影响。将分数维理论用于喷砂后的试样表面,研究了喷砂角度、分数维和结合强度的相互关系,找到了获得最高结合强度所用的喷砂角度;通过正交试验法,找到了能获得最佳涂层结合强度的Φ2mm丝材电弧喷涂工艺参数。     

引入测频信息进行无源被动定位的方法研究

无源被动定位技术中一个重要问题，是如何使定位的约束条件尽可能地少，即尽可能地提高方法的可操作性。只利用测角信息（ＤＯＡ）的定位方法，由于可观测性的要求，在单观测平台对运动目标定位时，常常需要观测平台作特殊的机动运动，这种约束给实际操作带来很大不便。本文提出了一种引入测频信息对运动目标进行定位的定位方法，并给出了可观测性分析。运用该定位法定位，观测平台的运动形式可以任意，特别有意义的是，在满足某些条件情况下观测平台还可以完全静止不动。     

基于SLAM的图形建模仿真环境

本文详细介绍了基于ＳＬＡＭ的图形建模仿真环境的设计与应用，包括图形建模环境的实现，ＳＬＡＭ网络的进程交互仿真策略以及仿真器的设计，并进一步探讨了该系统用于协同仿真进行混合异构建模的思想。     

MPP数据并行FORTRAN汇编代码模拟环境的设计与实现

本文阐述了一种在单机上模拟ＭＰＰ机执行并行汇编代码的方法。这种并行汇编代码由ＭＰＰＦＯＲＴＲＡＮ编译器生成。由于在一个大型工程中，编译生成的目标代码运行环境不一定能及时具备，所以，研制汇编代码模拟环境ＤＰＦＡＳ有助于及早验证编译目标代码的正确性和完备性。本文通过共享进程组在ＳＧＩ工作站上实现多机环境模拟和远程地址访问模拟。此模拟环境的实现对ＭＰＰ数据并行ＦＯＲＴＲＡＮ编译器的正确性验证和效率评估有一定的帮助。