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Simulation Modeling And Analysis With Arena

紀錄類型:	書目-電子資源 : 單行本
正題名/作者:	Simulation Modeling And Analysis With Arena/
出版者:	Academic Pr, : 2007.,
面頁冊數:	1 online resource.
標題:	Monte Carlo method. -
電子資源:	http://www.sciencedirect.com/science/book/9780123705235
ISBN:	9780123705235

Simulation Modeling And Analysis With Arena
Simulation Modeling And Analysis With Arena[electronic resource]. - Academic Pr,2007. - 1 online resource.

Includes bibliographical references and index.

Chapter 1 Introduction to Simulation Modeling; Chapter 2 Discrete Event Simulation;Chapter 3 Elements of Probability and Statistics;Chapter 4 Random Number and Variate Generation;Chapter 5 Arena Basics;Chapter 6 Model Testing and Debugging Facilities;Chapter 7 Input Analysis; Chapter 8 Model Goodness: Verification and Validation;Chapter 9 Output Analysis;Chapter 10 Correlation Analysis;Chapter 11 Modeling Production Lines;Chapter 12 Modeling Supply Chain Systems; Chapter 13 Modeling Transportation Systems;Chapter 14 Modeling Computer Information Systems;Appendix A Frequently Used Arena Constructs;Appendix B VBA in Arena;References; Index.

Simulation Modeling and Analysis with Arena is a highly readable textbook which treats the essentials of the Monte Carlo discrete-event simulation methodology, and does so in the context of a popular Arena simulation environment. It treats simulation modeling as an in-vitro laboratory that facilitates the understanding of complex systems and experimentation with what-if scenarios in order to estimate their performance metrics. The book contains chapters on the simulation modeling methodology and the underpinnings of discrete-event systems, as well as the relevant underlying probability, statistics, stochastic processes, input analysis, model validation and output analysis. All simulation-related concepts are illustrated in numerous Arena examples, encompassing production lines, manufacturing and inventory systems, transportation systems, and computer information systems in networked settings. Introduces the concept of discrete event Monte Carlo simulation, the most commonly used methodology for modeling and analysis of complex systems Covers essential workings of the popular animated simulation language, ARENA, including set-up, design parameters, input data, and output analysis, along with a wide variety of sample model applications from production lines to transportation systems Reviews elements of statistics, probability, and stochastic processes relevant to simulation modeling * Ample end-of-chapter problems and full Solutions Manual * Includes CD with sample ARENA modeling programs.

ISBN: 9780123705235

Source: 131682:131788Elsevier Science & Technologyhttp://www.sciencedirect.comSubjects--Uniform Titles:

Arena (Computer file)
Subjects--Topical Terms:

122540
Monte Carlo method.
Index Terms--Genre/Form:

96803
Electronic books.

LC Class. No.: QA298 / .S56 2007

Dewey Class. No.: 518/.282

Simulation Modeling And Analysis With Arena
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505 0 $a Chapter 1 Introduction to Simulation Modeling; Chapter 2 Discrete Event Simulation;Chapter 3 Elements of Probability and Statistics;Chapter 4 Random Number and Variate Generation;Chapter 5 Arena Basics;Chapter 6 Model Testing and Debugging Facilities;Chapter 7 Input Analysis; Chapter 8 Model Goodness: Verification and Validation;Chapter 9 Output Analysis;Chapter 10 Correlation Analysis;Chapter 11 Modeling Production Lines;Chapter 12 Modeling Supply Chain Systems; Chapter 13 Modeling Transportation Systems;Chapter 14 Modeling Computer Information Systems;Appendix A Frequently Used Arena Constructs;Appendix B VBA in Arena;References; Index.
520 $a Simulation Modeling and Analysis with Arena is a highly readable textbook which treats the essentials of the Monte Carlo discrete-event simulation methodology, and does so in the context of a popular Arena simulation environment. It treats simulation modeling as an in-vitro laboratory that facilitates the understanding of complex systems and experimentation with what-if scenarios in order to estimate their performance metrics. The book contains chapters on the simulation modeling methodology and the underpinnings of discrete-event systems, as well as the relevant underlying probability, statistics, stochastic processes, input analysis, model validation and output analysis. All simulation-related concepts are illustrated in numerous Arena examples, encompassing production lines, manufacturing and inventory systems, transportation systems, and computer information systems in networked settings. Introduces the concept of discrete event Monte Carlo simulation, the most commonly used methodology for modeling and analysis of complex systems Covers essential workings of the popular animated simulation language, ARENA, including set-up, design parameters, input data, and output analysis, along with a wide variety of sample model applications from production lines to transportation systems Reviews elements of statistics, probability, and stochastic processes relevant to simulation modeling * Ample end-of-chapter problems and full Solutions Manual * Includes CD with sample ARENA modeling programs.
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