本书论述了离散事件系统仿真的所有重要方面,全面讨论了正确的数据收集与分析、解析技术的使用、模型的验证以及适当的仿真实验设计。熟悉微积分、概率论以及初等统计学的知识将有助于阅读本书。第4版中对全书内容进行了广泛的更新,反映了软件与方法学的*新进展,并对某些章节进行了彻底修订,同时增加了有关制造与物料储运系统仿真、计算机系统仿真以及通信系统仿真的新章节。
本书可作为高等院校工程系、管理系、计算机科学系等高年级本科生或低年级研究生的仿真课程的教材。

Preface
About the Authors
Ⅰ Introduction to Discrete-Event System Simulation
1: Introduction to Simulation
1.1 When Simulation Is the Appropriate Tool
1.2 When Simulation Is Not Appropriate
1.3 Advantages and Disadvantages of Simulation
1.4 Aresas of Application
1.5 Systems and System Environment
1.6 Components of a System
1.7 Discrete and Continuous Systems
1.8 Model of Models
1.9 Types of Models
1.10 Discrete-Event System Simulation
1.11 Steps in a Simulation Study
Refremces
Exercises
2: Simulation Examples
2.1 Simulation of Queueing Systems
2.2 Simulation of Inventory Systems
3: General Principles
4: Simulation Software
Ⅱ Mathematical and Statistical Models
5: Statistical Models in Simulation
6: Queueing Models
Ⅲ Random-Numbers
7: Random-Number Generation
8: Random-variate Generation
Ⅳ Analysis of Simulation Data
9: Input Modeling
10: V&V
11: Output Analysis for a Single Model
12: Comparing Multiple Designs
Ⅴ Applications
13: Simulation of Manufacturing and Material-Handling Systems
14: Simulation of Computer Systems
15: Simulation of Communication Systems
Appendix
Index