Bibliographic Information

Simulation modeling and analysis

Averill M. Law, W. David Kelton

(McGraw-Hill series in industrial engineering and management science)(McGraw-Hill international series, . Industrial engineering series)

McGraw-Hill, 2000

3rd ed., international ed.

Available at  / 4 libraries

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Note

Includes bibliographical references (p. 711-743) and index

Description and Table of Contents

Description

This senior/graduate-level text is the classic text in its field and established itself as the authoritative source on the theory & practice of simulation over 15 years ago. It is used in most of the better schools of engineering and in some business programs as well.

Table of Contents

1 Basic Simulation Modeling2 Modeling Complex Systems3 Simulation Software4 Review of Basic Probability and Statistics5 Building Valid, Credible, and Appropriately Detailed Simulation Models6 Selecting Input Probability Distributions7 Random-Number Generators8 Generating Random Variates9 Output Data Analysis for a Single System10 Comparing Alternative System Configurations11 Variance-Reduction Techniques12 Experimental Design, Sensitivity Analysis, and Optimization13 Simulation of Manufacturing Systems

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