Discrete Event System Simulation 4e PIE
This text provides a basic treatment of discrete-event simulation, 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.
NEW - Simulation of Communications Systems—Includes new material on simulation beta distribution, negative binomial distribution and non-stationary processes.
NEW - Discussion of subset selection methods—Used for output analysis of several alternatives.
NEW - Companion Website—Includes software downloads, links and Power Point Lecture Slides.
Numerous solved examples—Enhances understanding of concepts.
An abundance of figures, tables and end-chapter exercises.
Text-specific, integrated website—Extends text material.
Application topics—Promotes understanding of real-world uses.
Interpretation of simulation software output—Explains how to use software tools correctly.
Discussion of simple tools for complex input modeling problems—Develops more realistic valid models.
2: Simulation Examples
3: General Principles
4: Simulation Software
5: Statistical Models in Simulation
6: Queueing Models
7: Random-number Generation
8: Random-variate Generation
9: Input Modeling
11: Output Analysis for a Single Model
12: Comparing Multiple Designs
13: Simulation of Mfg. & MH Systems
14: Simulation of Computer Systems
15: Simulation of Communication Systems