Simulation modeling and analysis
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Bibliographic Information
Simulation modeling and analysis
（McGraw-Hill series in industrial engineering and management science）（McGraw-Hill international editions, . Industrial engineering series）
McGraw-Hill, 1991
2nd ed., international ed
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Simulation modeling & analysis
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Cover title: Simulation modeling & analysis
Includes bibliographical references and indexes
Description and Table of Contents
Description
For courses in simulation offered at the advanced undergraduate or graduate level in departments of industrial engineering or schools of business, this text provides a state-of-the-art treatment of all of the important aspects of a simulation study, including modelling, simulation software, validation, selecting input probability distributions, and output data analysis. The new edition includes the most up-to-date research developments and many more examples and problems.
Table of Contents
Basic Simulation Modeling. Modeling Complex Systems. Simulation Software. Reiew of Basic Probability and Statistics. Building Valid and Credible Simulation Models. Selecting Input Probabaility Distribution. Random-Number Generators. Generating Random Variates. Output Data Analysis for a Single System. Comparing Alternative System Configurations. Variance-Reduction Techniques. Experimental Design and Optimization. Simulation of Manufacturing Systems.
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