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Discrete-event system simulation by Jerry Banks

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Published by Prentice-Hall in Englewood Cliffs, N.J .
Written in English

Subjects:

  • Simulation methods.

Book details:

Edition Notes

Includes bibliographies and index.

StatementJerry Banks, John S. Carson, II.
SeriesPrentice-Hall international series in industrial and systems engineering
ContributionsCarson, John S.
Classifications
LC ClassificationsT57.62 .B35 1984
The Physical Object
Paginationxiv, 514 p. :
Number of Pages514
ID Numbers
Open LibraryOL3161557M
ISBN 100132155826
LC Control Number83003340

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Description For junior- and senior-level simulation courses in engineering, business, or computer science. While most books on simulation focus on particular software tools, Discrete Event System Simulation examines the principles of modeling and analysis that translate to all such tools. This language-independent text explains the basic aspects of the technology, including the proper Format: On-line Supplement. The book is a reasonably full, theory based, introduction to the technique of discrete-event simulation. Fishman’s earlier texts ( and ) established themselves as common points of reference and this book is likely to join by: Discrete Event System Simulation is ideal for junior- and senior-level simulation courses in engineering, business, or computer science. It is also a useful reference for professionals in operations research, management science, industrial engineering, and information science. While most books on simulation focus on particular software tools, Discrete Event System Simulation examines the 4/5(3). 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.

Discrete-Event System Simulation Fourth Edition Jerry Banks John S. Carson II Barry L. Nelson David M. Nicol January 4, Contents 1 Introduction to Simulation 1 2 Simulation Examples 5 3 General Principles 19 4 Simulation Software 20 5 Statistical Models in Simulation 21 6 Queueing Models The standard in discrete event simulation software combines with the standard in undergraduate simulation textbooks! Adhering to the layout of Discrete-Event System Simulation ("DESS") by Banks, et al., the textbook, ExtendSim for Discrete-Event System Simulation *, uses ExtendSim as a pedagogical tool to explore and expand upon the principles. Solutions Manual Discrete-Event System Simulation Fourth Edition. When Simulation Is the Appropriate Tool. When Simulation Is Not Appropriate. Advantages and Disadvantages of Simulation. Areas of Application. Systems and System Environment. Components of a System. Discrete and Continuous Systems. Model of a System. Types of Models. Discrete-Event System Simulation. Steps in a Simulation Study.

Discrete Event System Simulationis ideal for junior- and senior-level simulation courses in engineering, business, or computer science. It is also a useful reference for professionals in operations research, management science, industrial engineering, and information science. While most books on simulation focus on particular software tools.   Based on over 20 years of evolution within a classroom environment, as well as on decades-long experience in developing simulation-based solutions for high-tech industries, Modeling and Simulation of Discrete-Event Systems is the only book on DES-M&S in which all the major DES modeling formalisms – activity-based, process-oriented, state. Discrete-event System Simulation-Jerry Banks Discrete Event System Simulation is ideal for junior- and senior-level simulation courses in engineering, business, or computer science. It is also a useful reference for professionals in operations research, management science, industrial engineering, and information science. The book introduces the CD++ tool, an open-source framework that enables the simulation of discrete-event models. After setting up the basic theory of DEVS and Cell-DEVS, the author focuses on how to use the CD++ tool to define a variety of models in biology, physics, chemistry, and artificial systems.