Simulation modeling and analysis
- 4th
- New Delhi McGraw Hill Education (India) Pvt. Ltd. 2013
- xix, 768 p.
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
Since the publication of the first edition in 1982, the goal of Simulation Modeling and Analysis has always been to provide 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 100,000 copies in print.
9780070667334
Digital computer simulation Mathematical models Simulation methods