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Simulation Modeling and Analysis with Expertfit Software / Edition 4

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Overview

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.

The book can serve as the primary text for a variety of courses; for example:

• A first course in simulation at the junior, senior, or beginning-graduate-student level in engineering, manufacturing, business, or computer science (Chaps. 1 through 4, and parts of Chaps. 5 through 9). At the end of such a course, the students will be prepared to carry out complete and effective simulation studies, and to take advanced simulation courses.

• A second course in simulation for graduate students in any of the above disciplines (most of Chaps. 5 through 12). After completing this course, the student should be familiar with the more advanced methodological issues involved in a simulation study, and should be prepared to understand and conduct simulation research.

• An introduction to simulation as part of a general course in operations research or management science (part of Chaps. 1, 3, 5, 6, and 9).

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Product Details

  • ISBN-13: 9780073294414
  • Publisher: McGraw-Hill Higher Education
  • Publication date: 7/21/2006
  • Edition description: Older Edition
  • Edition number: 4
  • Pages: 792
  • Sales rank: 1,170,224
  • Product dimensions: 6.50 (w) x 9.50 (h) x 1.40 (d)

Meet the Author

Averill Law is President of Averill M. Law & Associates, Inc. (Tucson, AZ), a company specializing in simulation training, consulting, and software. He was previously Professor of Decision Sciences at the University of Arizona and Associate Professor of Industrial Engineering at the University of Wisconsin-Madison. He has a Ph.D. and an M.S. in industrial engineering and operations research from the University of California at Berkeley, an M.A. in mathematics from California State University at Long Beach, and a B.S. in mathematics from Pennsylvania State University.

Dr. Law has been a simulation consultant to organizations such as Accenture, ARCO, Boeing, Booz Allen & Hamilton, Defense Modeling and Simulation Office, Hewlett-Packard, Kaiser Aluminum, Kimberly-Clark, M&M/Mars, Navy Modeling and Simulation Office, SAIC, Sandia National Labs, Swedish Defence Material Adminstration, and Xerox. He has presented more than 400 simulation short courses in 17 countries, including in-house seminars for ALCOA, AT&T, Boeing, Caterpillar, Coca-Cola, CSX, GE, GM, IBM, Intel, Lockheed Martin, Los Alamos National Lab, Missile Defense Agency, Motorola, NASA, National Security Agency, Nortel, Northrop Grumman, 3M, Time Warner, UPS, US Air Force, US Army, US Navy, Whirlpool, and Xerox.

He is the developer of the ExpertFit distribution-fitting software, which automates the selection of simulation input probability distributions. ExpertFit is used by more than 2000 organizations worldwide. He also developed the videotapes Simulation of Manufacturing Systems and How to Conduct a Successful Simulation Study.

Dr. Law is the author (or coauthor) of three books and numerous papers on simulation, operations research, statistics, manufacturing, and communcations networks. His article "Statistical Analysis of Simulation Output Data" was the first invited feature paper on simulation to appear in a major research journal. His series of papers on the simulation of manufacturing systems won the 1988 Institute of Industrial Engineers' best publication award. During his academic career, the Office of Naval Research supported his simulation research for 8 consecutive years. He was President of the INFORMS College on Simulation. He wrote a regular column on simulation for Industrial Engineering during 1990 and 1991. He has been the keynote speaker at simulation conferences worldwide.

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Table of Contents

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
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