提出了在柔性生产环境下基于遗传算法与模拟退火算法混合的动态调度算法，充分发挥遗传算法良好的全局搜索能力和模拟退火算法有效避免陷入局部极小的特性，有很好的收敛精度，并且能够在扰动发生后提供新的调度计划；通过交叉，变异等遗传操作、得到目标的最佳或次优解，最后对算法进行了仿真研究，仿真结果表明该算法是可行的，与传统的调度算法相比，其优越性是明显的。

"

文章分析了基于功能和基于过程的两种制造系统建模仿真方法，提出了面向过程的建模仿真系统的元模型结构，详细设计了制造系统多个视图模型中的主要建模元素。在此基础上，采用面向对象分析和软件组件技术，实现了组件 化制造过程建模仿真系统中的各个组成模块。该软件应用于实际，与CIMS其它子系统集成运行，提高了制造企业的整体业务水平。

For s-dependent systems, reliability models capable of reflecting the effect of failure dependence, i.e. the so called "common cause failure" are in demand, since the system reliability depends not only on the reliabilities of the individual components but also on the interactions among the component failures. Based on the attribute of system failure, the meaning of order statistics, as well as the mechanism of failure dependence, this paper developed s-dependent system reliability models by incorporating order statistics of component strength into load-strength interference model. The models simply characterize the fact that series system fails as long as the applied load exceeds the first (the minimum) order statistic of component strength, parallel system (with n i.i.d. components) fails when and only when load exceeds the nth (the maximum) order statistic of component strength, and k-out-of-n (F) system fails if load exceeds the kth order statistic of component strength. Since no assumption about s-independent failure was applied, the models are in a position to reflect the effect of failure dependence which may bring about common cause failures. To evaluate the reliability of general system comprising of non-i.i.d. components, an extended load - strength order statistics interference model was presented, too.

The Leak-Before-Break (LBB) case of pressure vessels and piping is achieved with the sufficient margin between detectable leak and catastrophic break. Therefore, the respective characteristic crack sizes, i.e. leak size (the crack size at which leakage amount is great enough to be detected) and the break size (the crack size at which crack propagation becomes unstable) are two important governing parameters for the LBB case. In multiple crack situations, the initial crack distribution and crack coalescence behavior are also LBB governing factors. The multiple crack condition related parameters would affect the LBB margin with the characteristic crack sizes together. The effects of multiple cracks on the LBB case, with respect to the different characteristic crack sizes are investigated in the present article by means of computer simulation. The simulation results show that, in multiple crack situation, the LBB margin is not so sensitive to characteristic crack sizes as in single crack situation.

In pressure vessels and piping the leak-before-break (LBB) assessment method is employed to avoid any catastrophic failure prior to a detectable leakage. One of the most important parameters, the leak rate, is investigated in the present paper by means of the Monte Carlo method. A brief reviewed is carried out with emphasis on aspects such as crack growth, crack size with detectable leakage, crack opening area and leak rate. Issues concerning the property and behavior of multiple cracks are also covered along with a review of the characteristics of leak rate through distributed multiple cracks using a statistical simulation method. The simulation results show that, the effect of multiple cracks is quite significant to the LBB concept. Both the relationship between leak rate and crack length (or time) and the statistical characteristics of the leak rate are considerably different for different initial crack conditions.

本文对系统共因失效分析中涉及的概念，诸如共因失效的“根本原因”（root cause）和“耦合机制”（coupling mechanism）等，从载荷的随机性导致零件失效相关性这一观点给予了解释。同时还提出和讨论了“固有相关性”、“偶然相关性”、“绝对共因失效”和“相对共因失效”等概念。借助多维应力-强度干涉分析和对干涉模型进行的离散化处理，建立了根据零件/系统失效数据预测系统共因失效概率的简单、实用的离散化的模型。

文章分析了生产线制造过程的数字化制造环境，提出了基于扩展事件过程链的生产线制造过程建模仿真方法。在此基础上，采用面向对象软件方法，详细设计和实现了生产线制造过程建模仿真系统的各个组成模块。该软件系统应 用于实际生产线的规划设计，对生产线进行仿真分析和性能优化，与’149 其它子系统集成运行，提高了生产线制造过程的整体性能和经济效益。

根据两级循环载荷作用下剩余疲劳寿命分布规律的实验规律，以描述剩余寿命分布变化的数学模型为基础，提出了一个根据载荷历程作用下结构/零件状态变化预测随机载荷下疲劳可靠度的方法。该方法的基本思想是，在随机载荷作用下，结构/零件的剩余寿命分布参数（均值和标准差）将不断变化。在每一级或每一个载荷循环作用下，剩余寿命分布参数的变化量取决于当前材料状态（该载荷开始作用时的材料性能参数）及载荷参数。以这样的变化规律为基础，就可以根据已知的材料或零件的原始P-S-N曲线，借助剩余寿命分布和载荷循环数-疲劳寿命干涉分析计算随机载荷作用下的疲劳可靠度。

基于发生函数法建立了含共因失效的多状态系统可靠性分析模型，通过改进的发生函数法求取多状态不可修串并联系统的可靠度函数。具体分两个步骤：第一步，先不考虑共因元件组的影响，用发生函数表示系统的性能分布；第二步，在“系统层”对共因元件组元件各状态信息进行分析，再用分析结果对系统发生函数进行修正，最终得到系统可靠度函数。