Simulation Modeling and Analysis - Law, Averill

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Auteur(s) : Law, Averill

Editeur : Mcgraw-Hill Education Ltd

Langue : Anglais

Parution : 01/03/2024

Format : Moyen, de 350g à 1kg

Nombre de pages : 704

Dimensions : 23.9 x 19.3 x 3.3

ISBN : 9781264268245

Résumé :

Comprehensive, state-of-the-art coverage of every important simulation technique

This fully-revised book has the most comprehensive and up-to-date coverage of all aspects of a simulation study. Equally well suited for use in university courses, simulation practice, and self-study, the book offers clear and intuitive explanations as well as 300 figures, 218 examples, and 217 problems. You will get detailed discussions on modeling and simulation, simulation software, model verification and validation, input modeling, random-number and variate generation, statistical design and analysis of simulation experiments, experimental design, simulation optimization, agent-based simulation, machine learning, and much more.

Authored by an operations research analyst and industrial engineer with more than 40 years of experience, Simulation Modeling and Analysis is widely regarded as the bible of simulation and now has more than 178,000 copies in print and 23,700 citations. This sixth edition has been streamlined, with several chapters downsized to eliminate outdated simulation programs or statistical techniques that are rarely used in practice and are unnecessarily complicated. Most analyses of simulation output data can now be done using three simple and familiar statistical formulas or expressions. A new chapter covers AI and machine learning and their application to simulation.

• Covers what are arguably the three most-innovative and popular simulation-software packages: AnyLogic, FlexSim, and Simio
• Includes a set of instructor's resources
• Has been used at universities such as University of California-Berkeley, Stanford, Georgia Tech, Michigan, Cornell, Purdue, Virginia Tech, Penn State, Wisconsin, Columbia, Texas A&M, Washington, and Johns Hopkins
• Written by a world-class expert in the field and an experienced educator who has presented more than 550 simulation and statistics short courses in 20 countries

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Biographie:
Averill M. 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-Long Beach, and a B.S. in mathematics from Pennsylvania State University. Dr. Law has been a simulation consultant to organizations such as Accenture, Boeing, Booz Allen & Hamilton, ConocoPhillips, Defense Modeling and Simulation Office, Federal Express, Ford, Hewlett-Packard, Kimberly-Clark, M&M/Mars, Monsanto, Sandia National Labs, Swedish Defense Material Administration, U.S. Marine Corps, and Xerox. He has presented more than 550 simulation and statistics short courses in 20 countries, including onsite 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, Northrop Grumman, 3M, Time Warner, UPS, U.S. Air Force, U.S. Army, U.S. Navy, and Whirlpool. 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 3000 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 communications 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. He was awarded the 2009 INFORMS Simulation Society's Lifetime Professional Achievement Award for his simulation seminars and book. During his academic career, the Office of Naval Research supported his simulation research for 8 consecutive years. He wrote a regular column on simulation for Industrial Engineering during 1990 and 1991....

Sommaire:

Comprehensive, state-of-the-art coverage of every important simulation technique

This fully-revised book has the most comprehensive and up-to-date coverage of all aspects of a simulation study. Equally well suited for use in university courses, simulation practice, and self-study, the book offers clear and intuitive explanations as well as 300 figures, 218 examples, and 217 problems. You will get detailed discussions on modeling and simulation, simulation software, model verification and validation, input modeling, random-number and variate generation, statistical design and analysis of simulation experiments, experimental design, simulation optimization, agent-based simulation, machine learning, and much more.

Authored by an operations research analyst and industrial engineer with more than 40 years of experience, Simulation Modeling and Analysis is widely regarded as the bible of simulation and now has more than 178,000 copies in print and 23,700 citations. This sixth edition has been streamlined, with several chapters downsized to eliminate outdated simulation programs or statistical techniques that are rarely used in practice and are unnecessarily complicated. Most analyses of simulation output data can now be done using three simple and familiar statistical formulas or expressions. A new chapter covers AI and machine learning and their application to simulation.

• Covers what are arguably the three most-innovative and popular simulation-software packages: AnyLogic, FlexSim, and Simio
• Includes a set of instructor's resources
• Has been used at universities such as University of California-Berkeley, Stanford, Georgia Tech, Michigan, Cornell, Purdue, Virginia Tech, Penn State, Wisconsin, Columbia, Texas A&M, Washington, and Johns Hopkins
• Written by a world-class expert in the field and an experienced educator who has presented more than 550 simulation and statistics short courses in 20 countries