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     

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。     

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。     

使用图像优化方法估计水体调制传递函数

针对水体属性的变化使图像复原困难的问题,提出了一种从退化的水下图像中估计自然水体调制传递函数的方法。该方法首先建立了自然水体的调制传递函数与其固有光学特性参数之间的关系,然后采用图像复原技术对图像进行复原,最后使用粒子群优化算法来优化调制传递函数的相关参数。仿真实验表明:该方法能有效对水下图像进行复原,且不需测量水体的光学参数就能估计出自然水体的调制传递函数。该方法用于水下激光成像系统的图像复原可取得明显效果。     

基于模糊物元分析法的坦克作战效能评估

鉴于坦克作战效能评估中客观存在的不确定性和模糊性,提出了基于改进模糊物元分析方法的坦克作战效能评估模型。该模型在构建坦克作战效能评估指标体系基础上,将层次分析法和熵权法计算出的权重有机组合实现综合赋权,并据此建立坦克作战效能的模糊物元分析评估模型。实例分析表明,所提出的模型便于理解,易于实现,兼顾了主客观因素的影响,评估结果总体反映了坦克作战效能的真实水平,也为其他装甲武器作战效能的科学评估提供新思路。