Roger McHaney - Understanding Computer Simulation: From Basic to Advance Understanding

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Roger McHaney

Understanding Computer Simulation

Understanding Computer Simulation 1 st edition

2014 Roger McHaney & bookboon.com ISBN 978-87-7681-505-9

Contents

Introduction to Computer Simulation

1.1 Simulation Defined8

1.2 Different Types of Simulation13

1.3 Brief History of Simulation23

1.4 Bibliography26

Simulation Languages

2.1 Simulation Language Features29

2.2 Simulators and Integrated Simulation Environments33

2.3 Hardware Requirements for Simulation38

2.4 Animation38

2.5 Bibliography41

Applications of Simulation

3.1 Why Use Simulation44

3.2 Simulation as a Design Tool46

3.3 Estimation of Simulation Time48

3.4 Methodology for Manufacturing Simulations51

3.5 Forcing Completion of Design with Simulation52

3.6 The Simulation Decision52

3.7 Make It Work Vs. Does It Work

3.8 Optimizing and Developing Solutions55

3.9 Genetic Algorithms56

3.10 Ethics in Simulation56

3.11 Bibliography58

Starting a Simulation the Right Way

4.1 Intelligence63

4.2 Managerial Phase64

4.3 Developmental Phase65

4.4 Human Component Considerations93

4.5 Bibliography97

Simulation Quality and Development

5.1 Quality Assurance Phase100

5.2 Selection of a Language or Tool102

5.3 Model Construction107

5.4 Verification107

5.5 Bibliography108

Developing a Simulation-Implementation

6.1 Experimental Design110

6.2 Production Runs114

6.3 Output Analysis115

6.4 Output Reporting120

6.5 Post Processing Output125

6.6 Operations, Maintenance and Archival Phase130

6.7 Bibliography131

Case Study: DePorres Tours

7.1 Intelligence Phase133

7.2 Managerial Phase134

7.3 Developmental Phase135

7.4 Quality Phase146

7.5 Implementation147

7.6 Operations, Maintenance and Archival Phase153

7.7 Bibliography153

7.8 Appendix: GPSS World Source Code Listing (Two Bus Model)154

Acknowledgements

1 Introduction to Computer Simulation

Computer simulation is used to reduce the risk associated with creating new systems or with making changes to existing ones. More than ever, modern organizations want assurance that investments will produce the expected results. For instance, an assembly line may be required to produce a particular number of autos during an eight hour shift. Complex, interacting factors influence operation and so powerful tools are needed to develop an accurate analysis. Over the past few decades, computer simulation software, together with statistical analysis techniques have evolved to give decision makers tools equal to the task. As the world grows more technical and the need for precision becomes more important, the margin for error will continue to shrink. Business, industry, and governments cannot afford to make educated guesses during systems development. For that reason, computer simulation is more important than ever.

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