UnknownBanks, Jerry
Pearson Education (Upper Saddle River, 2010) (eng) English9780136062127Unknown5th ed.SIMULATION METHODS; Appendix: p. 591-605; Discrete Event System Simulation is ideal for junior- and senior-level simulation courses in engineering, business, or computer science. It is also a useful reference for professionals in operations research, management science, industrial engineering, and information science.
While most books on simulation focus on particular software tools, Discrete Event System Simulation examines the principles of modeling and analysis that translate to all such tools. This language-independent text explains the basic aspects of the technology, including the proper collection and analysis of data, the use of analytic techniques, verification and validation of models, and designing simulation experiments. It offers an up-to-date treatment of simulation of manufacturing and material handling systems, computer systems, and computer networks.
Students and instructors will find a variety of resources at the associated website, www.bcnn.net/, including simulation source code for download, additional exercises and solutions, web links and errata.
Physical dimension
xviii, 622 p.24 cm.ill.
Summary / review / table of contents
I. Introduction to discrete-event system simulation --
1. Introduction to simulation --
2. Simulation examples in a spreadsheet --
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. Verification, calibration, and validation of simulation models --
11. Estimation of absolute performance --
12. Estimation of relative performance --
V. Applications --
13. Simulation of manufacturing and material-handling systems --
14. Simulation of networked computer systems.