This book provides a basic treatment of discrete-event simulation, including the proper collection and analysis of data, the use of analytic techniques, verification and validation of models, and designing simulation experiments. Contains up-to-date treatment of simulation of manufacturing and material handling systems. Includes numerous solved examples. Offers an integrated website. Explains how to interpret simulation software output. For those interested in learning more about discrete-event simulation.
This text provides a basic treatment of discrete-event simulation, one of the most widely used operations research tools presently available. Proper collection and analysis of data, use of analytic techniques, verification and validation of models, and an appropriate design of simulation experiments are treated extensively. Readily understandable to those having a basic familiarity with differential and integral calculus, probability theory and elementary statistics. TheSecond Edition reorganizes, updates and expands coverage to reflect the most recent developments.
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This book provides a basic treatment of discrete-event simulation, one of the most widely used operations research and management science tools for dealing with system design in the presence of uncertainty. Proper collection and analysis of data, use of analytic techniques, verification and validation of models and the appropriate design of simulation experiments are treated extensively. Readily understandable to those having a basic familiarity with differential and integral calculus, probability theory and elementary statistics. Includes simulation in C++, the latest versions of the most widely used packages, and features of simulation output analysis software. Covers properties, modeling and random-variate generation from the lognormal distribution. Clarifies the difficult distinctions between terminating and steady-state simulation, and between within- and across-replication statistics. Contains up-to-date treatment of simulation of manufacturing and material handling systems. Emphasizes the hierarchical nature of computing systems, and how simulation techniques vary, depending on the level of abstraction. For readers wanting to learn more about system simulation.
--This text refers to an out of print or unavailable edition of this title.
Jerry Banks retired in June, 1999 as Professor, School of Industrial and Systems Engineering, Georgia Institute of Technology. He then worked for two years as Senior Simulation Technology Advisor, Brooks Automation, Planning and Logistics Solutions, AutoMod Product Team. He is currently on the faculty of Technológico de Monterrey, Campus Monterrey, México as a professor with the title Academic Leader. He is the author, co author, editor or co-editor of thirteen books, one set of proceedings, several chapters in texts, and numerous technical and other papers. He is the editor of the Handbook of Simulation, published in 1998 by John Wiley. This book won the award for Excellence in Engineering Handbooks from the Professional Scholarly Publishing Division of the Association of American Publishers, Inc. He is a co author of Discrete Event Systems Simulation, 5th ed., published by Prentice Hall in 2009. He is also author of the text Getting Started with AutoMod, 2nd ed., published by Brooks Automation in 2004. He is the co-author of Introduction to SIMAN V and CINEMA V, published by John Wiley, New York, in 1995. He is also the co-author of Getting Started with GPSS/H, Second Edition, published by Wolverine Software Corporation, Annandale, Virginia, in 1995. Other titles include a co authored text Forecasting and Management of Technology, 2nd ed. in press, and the single authored text Principles of Quality Control published in 1989, both by John Wiley, New York. He is also a co-author of RFID Applied. With Rajagopal, his completed text Crafting Managers: 100 Principles for the Excellent Manager is expected from Nova Science Publishers on March 31, 2010. It was published by John Wiley in 2007. He was a founding partner in the simulation-consulting firm Carson/Banks & Associates, Inc. located in Atlanta. The firm was purchased by AutoSimulations, Inc. (now part of Applied Materials) in May of 1994. He is a full member of many technical societies including the Institute of Industrial Engineers (IIE) for which he served eight years as that organization's representative to the Board of the Winter Simulation Conference, including two years as Board Chair. He received the Outstanding Fellow Award from the Department of Industrial Engineering, University of Alabama in 1965. He was named a Distinguished Fellow by the College of Engineering, University of Alabama in 1997. He was the recipient of the INFORMS College on Simulation Distinguished Service Award for 1999. He was named a Fellow of IIE in 2002. He is the 2010 Melvin Lohmann Medal Winner given by the College of Engineering, Architecture, and Technology of Oklahoma State University.
This book provides a very good introduction to discrete-event simulation. The authors start out by providing several simple examples in areas such as queueing and inventory systems, as well as reliability. After the first few chapters the reader gets a sense of what simulation represents and why it is done. In later chapters they score high marks in introducing more advanced issues, such as probability models, random number and random variate generators, queueing theory, and input modeling.
In closing, the book makes for a very good junior or senior-level introduction to simulation, and I especially am thankful that the presentation was made independent of any simulation package. Instead it focuses on those things that any good simulation package/language should have (e.g. random-number generators, built-in objects for customers and servers, statistical support for evaluating hypotheses about collected data, etc.).
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Banks revised his great book with updated simulation package and information. Several new issues, such as, tools/softwares, random-variable generation, simulation termination, how to use Simulation to analysis and design computer system, many downloadable examples. Sufficient theories, to understand Simulation, are given, for instance, the Statistics and Queueing theories. Two chapters are dedicated for random-number generation. One chapter is dedicated for verification and validation of simulation models. Although it's only one chapter, several references are given for further study. IE or logistic practioner will enjoy since one chapter is for manufacturing and material handling system (wow!). Very good reference and practice.
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This book brings a very complete explanation about what Discrete Event System Simulation is. From the very beginning, they introduce what Simulation is by means of simple examples that you can manage by hand. They also give a comprehensive explanation about how to determine the apropiate distribution functions to use in the simulation. And how to statistically analyze the simulation results. The book also include a comprehensive brochure of different simulation languages.
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