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Full Description
For junior- and senior-level simulation courses in engineering, business, or computer 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.
Contents
I Introduction to Discrete-Event System Simulation
Chapter 1 Introduction to Simulation
Chapter 2 Simulation Examples
Chapter 3 General Principles
Chapter 4 Simulation Software
II Mathematical and Statistical Models
Chapter 5 Statistical Models in Simulation
Chapter 6 Queueing Models
III Random Numbers
Chapter 7 Random-Number Generation
Chapter 8 Random-Variate Generation
IV Analysis of Simulation Data
Chapter 9 Input Modeling
Chapter 10 Verification and Validation of Simulation Models
Chapter 11 Output Analysis for a Single Model
Chapter 12 Comparison and Evaluation of Alternative System Designs
V Applications
Chapter 13 Simulation of Manufacturing and Material-Handling Systems
Chapter 14 Simulation of Computer Networks
Appendix
Index
