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。

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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.