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Summary
Summary
Unlike most software packages for simulation -- which are generally oriented toward engineering applications, are often intimidating to use, and are not suitable for applications of risk analysis -- this text provides an introduction to the concepts, methodologies, and applications of simulation in business, specifically. Easy-to-use and apply, it uses spreadsheets as the principal means to illustrate simulation models and computational issues -- providing students with a solid foundation for learning to use the more advanced commercially available simulation software. The value of simulation is demonstrated through the use of real applications throughout.*Uses Microsoft Excel throughout - although most models can easily be translated into other spreadsheet formats*Provides cell formulas and detailed explanations for each spreadsheet model*Contains numerous chapter-end Questions and Problems for review of important concepts, practice in working with and extending models, and applying the concepts to new situations
Table of Contents
Preface | p. xiii |
Part 1 Simulation Fundamentals | |
Chapter 1 Introduction to Simulation | p. 1 |
Chapter 2 Simulation Using Excel | p. 21 |
Chapter 3 Probability and Statistics in Simulation | p. 63 |
Part 2 Simulation in Risk Analysis | |
Chapter 4 Risk Analysis Using Crystal Ball | p. 112 |
Chapter 5 Applications of Risk Analysis | p. 152 |
Part 3 Systems Simulation | |
Chapter 6 Building System Simulation Models | p. 199 |
Chapter 7 Output Analysis and Experimentation for Systems Simulation | p. 249 |
Chapter 8 Systems Simulation Using ProcessModel | p. 271 |
Chapter 9 Applications of Systems Simulation | p. 307 |
Part 4 Extensions of Simulation | |
Chapter 10 Simulation in Forecasting and Optimization | p. 335 |
Appendix A Normal Distribution | p. 370 |
Appendix B t Distribution | p. 371 |
Appendix C Chi-Square Limits | p. 372 |
Appendix D Kolmogorov-Smirnov Limits | p. 373 |
Bibiography | p. 374 |
Index | p. 387 |