| 000 | 00000cam u2200205 a 4500 | |
| 001 | 000045829160 | |
| 005 | 20150326112427 | |
| 008 | 150325s2010 njua b 001 0 eng d | |
| 010 | ▼a 2008032167 | |
| 020 | ▼a 9780470097267 (cloth/cd) | |
| 020 | ▼a 0470097264 (cloth/cd) | |
| 035 | ▼a (KERIS)REF000016981105 | |
| 040 | ▼a DLC ▼c DLC ▼d BAKER ▼d C#P ▼d YDXCP ▼d BWX ▼d CDX ▼d GZM ▼d DLC ▼d 211009 | |
| 050 | 0 0 | ▼a T57.62 ▼b .R67 2010 |
| 082 | 0 0 | ▼a 003/.3 ▼2 23 |
| 084 | ▼a 003.3 ▼2 DDCK | |
| 090 | ▼a 003.3 ▼b R829s | |
| 100 | 1 | ▼a Rossetti, Manuel D. ▼q (Manuel David), ▼d 1962-. |
| 245 | 1 0 | ▼a Simulation modeling and Arena / ▼c Manuel D. Rossetti. |
| 260 | ▼a Hoboken, NJ : ▼b John Wiley, ▼c 2010. | |
| 300 | ▼a xix, 573 p. : ▼b ill. ; ▼c 26 cm.+ ▼e 1 CD-ROM (4 3/4 in.). | |
| 504 | ▼a Includes bibliographical references (p. 543-547) and index. | |
| 630 | 0 0 | ▼a Arena (Computer file). |
| 650 | 0 | ▼a Simulation methods. |
| 650 | 0 | ▼a Discrete-time systems. |
| 945 | ▼a KLPA |
소장정보
| No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
|---|---|---|---|---|---|---|---|
| No. 1 | 소장처 과학도서관/Sci-Info(2층서고)/ | 청구기호 003.3 R829s | 등록번호 121232536 | 도서상태 대출가능 | 반납예정일 | 예약 | 서비스 |
컨텐츠정보
책소개
Engineers will benefit from this book because it blends the theoretical aspects of simulations with a simulation package so they can put the concepts to practice. It utilizes the Arena Simulation Environment as the primary modeling tool for simulation. More detailed discussions of the statistical aspects of simulation are presented than are found in many other simulation language oriented textbooks. Special emphasis is placed on the computer programming aspects of simulation. The accompanying CD-ROM also contains the student version of Arena along with illustrations, solutions to several exercises, and additional files. With the help of numerous hands-on exercises and engaging material, engineers will learn how to apply the concepts to real-world situations.
New feature
This introduction to discrete-event simulation modeling and analysis provides detailed discussions of the statistical aspects of simulation along with the traditional examination of simulation language.Merging the two most common approaches to the subject, and adding a special emphasis on the art of model building, Simulation Modeling and Arena helps you build a solid foundation in the theoretical aspects of simulations while developing practical expertise in the art of model building. Key features include:
- Learning Objectives for each chaper
- Statistical output analysis integrated with Arena
- Emphasis on activity based learning
- Builds on computer programming experience
- Language-independent conceptual modeling process
- Coverage of classic stochastic models from operations research
- Comprehensive examples and exercises
- Arena software bundled with the text with all example files
The engaging style, with its emphasis on hands-on learning, will ensure that you retain the information and reinforce your ability to put the concepts into practice.
정보제공 :
목차
Preface.
Chapter 1. Simulation Modeling.
1. Simulation Modeling.
1.1 Why Simulate?
1.2 Types of Computer Simulation.
1.3 How the Discrete-Event Clock Works.
1.4 Randomness in Simulation.
1.5 Simulation Languages.
1.6 Getting Started with Arena.
1.7 Getting Help within Arena.
1.8 Simulation Methodology.
1.9 Organization of the Book.
1.10 Exercises.
Chapter 2. Basic Process Modeling.
2. Elements of Process-Oriented Simulation.
2.1 Entities, Attributes, and Variables.
2.2 Creating and Disposing of Entities.
2.3 Defining Variables and Attributes.
2.4 Processing Entities.
2.5 Attributes, Variables, and some I/O.
2.6 Flow of Control in Arena.
2.7 Batching and Separating Entities.
2.8 SIMAN and Arena's Run Controller.
2.9 Summary.
2.10 Exercises.
Chapter 3. Modeling Randomness in Simulation.
3. Modeling Randomness in Simulation.
3.1 Random Variables and Probability Distributions.
3.2 Input Distribution Modeling.
3.3 Generating Random Numbers.
3.4 Summary.
3.5 Exercises.
3.6 Appendix: Using MINITAB and BestFit during Input Modeling.
3.7 Appendix: Basic Spreadsheet Simulation Concepts.
Chapter 4. Analyzing Simulation Output.
4. Analyzing Simulation Output.
4.1 Types of Statistical Variables.
4.2 Types of Simulation With Respect To Output Analysis.
4.3 Analysis of Finite Horizon Simulations.
4.4 Analysis of Infinite Horizon Simulations.
4.5 Comparing System Configurations.
4.6 Summary.
4.7 Exercises.
Chapter 5. Modeling Queueing and Inventory Systems.
5. Introduction.
5.1 Single Line Queueing Stations.
5.2 Networks of Queueing Stations.
5.3 Inventory Systems.
5.4 Summary.
5.5 Exercises.
Chapter 6. Entity Movement and Material Handling Constructs.
6. Introduction.
6.1 Constrained Transfer with Resources.
6.2 Constrained Transfer with Transporters.
6.3 Modeling Systems with Conveyors.
6.4 Modeling Guided Path Transporters.
6.5 Summary.
6.6 Exercises.
Chapter 7. Miscellaneous Topics in Arena Modeling.
7. Introduction.
7.1 Advanced Resource Modeling.
7.2 Tabulating Frequencies using the STATISTIC Module.
7.3 Entity and Resource Costing.
7.4 Miscellaneous Modeling Concepts.
7.5 Programming Concepts within Arena.
7.6 Summary.
7.7 Exercises.
Chapter 8. Application of Simulation Modeling.
8. Introduction.
8.1 Problem Description.
8.2 Detailed Solution.
8.3 Sensitivity Analysis.
8.4 Completing the Project.
8.5 Some Final Thoughts.
8.6 Exercises.
References.
Index.
정보제공 :