大葉大學圖書館 |

Simulation Modeling And Analysis With Arena[electronic resource].

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	518/.282
書名/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.
標題:	Digital computer simulation.
標題:	Industrial management - Computer simulation.
ISBN:	9780123705235
ISBN:	0123705231
書目註:	Includes bibliographical references and index.
內容註:	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.
摘要、提要註:	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.
電子資源:	http://www.sciencedirect.com/science/book/9780123705235

Simulation Modeling And Analysis With Arena[electronic resource].
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:

337839
Monte Carlo method.
Index Terms--Genre/Form:

336502
Electronic books.

LC Class. No.: QA298 / .S56 2007

Dewey Class. No.: 518/.282

Simulation Modeling And Analysis With Arena[electronic resource].
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300 $a 1 online resource.
504 $a Includes bibliographical references and index.
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.
588 $a Description based on print version record.
630 0 0 $a Arena (Computer file) $3 486748
650 0 $a Monte Carlo method. $3 337839
650 0 $a Digital computer simulation. $3 172175
650 0 $a Industrial management $x Computer simulation. $3 486747
655 4 $a Electronic books. $2 local $3 336502
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