Bibliographic Information

Introduction to simulation and risk analysis

James R. Evans, David L. Olson

Prentice Hall, c2002

2nd ed.

Available at  / 10 libraries

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Note

Includes bibliographical references (p. [374]-385) and index

Description and Table of Contents

Description

For upper-level undergraduate Simulation, Business Administration, and related disciplines and beginning graduate courses in business administration and related disciplines. Providing a hands-on, real-world introduction to the concepts, methodologies, and applications of simulation in business specifically, this soundly structured text uses spreadsheets as the principal means to illustrate simulation modeling concepts, computational issues, and analysis of results - giving students extensive hands-on experience with minimal frustration. Covering the basic concepts of simulation, it provides an in-depth study on risk analysis, and effectively deals with systems simulation, reinforcing basic concepts and principles at every turn and emphasizing the true value of simulation by highlighting real applications used in today's businesses at every opportunity. This text also incorporates Crystal Ball and ProcessModel.

Table of Contents

I. SIMULATION FUNDAMENTALS. 1. Introduction to Simulation. 2. Simulation Using Excel. 3. Probability and Statistics in Simulation. II. SIMULATION IN RISK ANALYSIS. 4. Risk Analysis Using Crystal Ball. 5. Applications of Risk Analysis. III. SYSTEMS SIMULATION. 6. Building System Simulation Models. 7. Output Analysis and Experimentation for Systems Simulation. 8. Systems Simulation Using ProcessModel. 9. Applications of System Simulation. IV. EXTENSIONS OF SIMULATION. 10. Simulation in Forecasting and Optimization. Appendix A. Normal Distribution. Appendix B. t Distribution. Appendix C. Chi Square Limits. Appendix D. Kolmogorov-Smirnov Limits. Bibliography. Index.

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