现代离散事件随机系统的分析和设计方法集中在它们在稳定状态下的行为上，在长期的运转或超过平均时间的运作中一个需要绩效测量的概念形成了。
Present methods of analysis and design of DESS focus on their behavior in the steady state, a conceptualization that requires performance measures to be made "in the long run" or averaged over time.
引入现代控制科学离散事件动态系统摄动分析思想，提出通信网络随机模拟的快速并行算法。
In this paper, we extend the idea of DEDS (Discrete Event Dynamie System) theory and present a fast parallel algorithm for communication network random simulation.
生产物流系统属于具有高度随机性的复杂离散事件系统，用传统方法分析比较困难。
Production logistics system is a kind of the complex discrete event system with high degree of randomness, traditional analysis becomes more difficult.
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