Simulation Modeling and Analysis

1) Basic Simulation Modeling

2) Modeling Complex Systems

3) Simulation Software

4) Review of Basic Probability and Statistics

5) Building Valid, Credible, and Appropriately Detailed Simulation Models

6) Selecting Input Probability Distributions

7) Random-Number Generators

8) Generating Random Variates

9) Output Data Analysis for a Single System

10) Comparing Alternative System Configurations

11) Variance-Reduction Techniques

12) Experimental Design, Sensitivity Analysis, and Optimization

13) Simulation of Manufacturing Systems

Simulation Modeling and Analysis provides a comprehensive, state-of-the-art, and technically correct treatment of all important aspects of a simulation study. The book strives to make this material understandable by the use of intuition and numerous figures, examples, and problems. It is equally well suited for use in university courses, simulation practice, and self-study. The book is widely regarded as the “bible” of simulation and now has more than 172,000 copies in print and has been cited more than 18,500 times. This textbook can serve as the primary text for a variety of courses. It is used in leading industrial and systems engineering departments at Georgia Tech, University of Michigan, University of California at Berkeley, Stanford University, Purdue University, Texas A&M University, Columbia University, University of Washington, and Naval Postgraduate School.