What Every Engineer Should Know About Modeling and Simulation 1st Edition by Raymond J Madachy, Daniel Houston ISBN 9781351648646 1351648640

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Product details:

ISBN 10: 1351648640 
ISBN 13: 9781351648646
Author: Raymond J Madachy, Daniel Houston

What Every Engineer Should Know About Modeling and Simulation 1st Edition Table of contents:

Chapter 1 Introduction

1.1 Book Scope

1.2 Systems and Models

1.3 What is Simulation Modeling and Why Model?

1.4 Overview of Simulation Modeltypes

1.5 Applications

1.6 Introductory Example with Basic Measures

1.6.1 Queue-Server System

1.7 Summary

Chapter 2 Modeling and Simulation Method

2.1 Introduction

2.2 Engagement

2.3 Model Specification

2.4 Modeling

2.4.1 Modeling Paradigms

2.4.2 Model Construction

2.4.3 Data Collection and Input Analysis

2.5 Model Assessment

2.5.1 Experimentation and Output Analysis

2.6 Making Recommendations and Reporting

2.7 Knowledge and Skills for Modeling and Simulation

2.8 Summary

Chapter 3 Types of Simulation

3.1 Continuous

3.1.1 Conserved Flows and the Continuous View

3.1.2 Model Elements

3.1.3 Mathematical Formulation of System Dynamics

3.2 Discrete Event

3.2.1 Next Event Time Advance Approach

3.2.2 Common Processes and Objects in Discrete Systems

3.3 Agent Based

3.3.1 Agent-Based Model Elements

3.4 Summary

Chapter 4 Randomness

4.1 Representing Uncertain Values

4.2 Generating Random Values

4.3 Probability Distributions

4.3.1 Interpreting Probability Distributions

4.3.2 Common Probability Distributions

4.3.3 Summary and Usage of Probability Distributions

4.4 Monte Carlo Analysis

4.4.1 Inverse Transform

4.5 Summary

Chapter 5 Simulation Input Analysis

5.1 Identifying Input Variables

5.2 Deciding Types of Input Values

5.3 Collecting Data on Input Variables

5.3.1 Collecting Data

5.3.2 Eliciting Data

5.4 Estimating the Parameters of a Data Distribution

5.4.1 Using Elicited Data

5.4.2 Using Collected Data

5.4.3 Fitting Known Distributions to Collected Data

5.4.4 Constructing Empirical Distributions

5.5 Summary

Chapter 6 Simulation Runs and Output Analysis

6.1 Introduction

6.2 Preliminary Considerations

6.3 Simulation Types for Output Analysis

6.4 Model Execution

6.4.1 Setting Up Runs and Designing Experiments

6.4.2 Achieving Data Independency

6.5 Output Analysis

6.5.1 Descriptive Statistics

6.5.2 Confidence Intervals

6.5.3 Estimation of a Population Mean

6.5.4 Estimation of a Difference Between Two Means

6.5.5 Hypothesis Testing

6.5.6 Sensitivity Analysis

6.5.7 Response Surfaces

6.6 Presentation

6.7 Summary

Chapter 7 Engineering Case Study Example

7.1 Introduction and Overview

7.2 Background

7.3 Modeling

7.4 Discovering Significant Factors and Behavior

7.5 Modeling Likely Scenario and Alternatives

7.6 Findings and Impacts

7.7 Summary

Appendix A Simulation Tools

A.1 Commercial Tools

A.2 Commercial Distribution Fitting Tools

A.3 Open Source and No-Cost Tools

Appendix B Simulation Source Code Examples

B.1 Discrete Event System Models

B.1.1 Simple Model for Electric Car Charging Station

B.1.2 Full Model for Electric Car Charging Station

B.2 Continuous System Models

B.2.1 Integration Using Eulers Method

B.2.2 Integration Using the Runge-Kutta Method

Glossary

Bibliography

Index

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Tags: Raymond J Madachy, Daniel Houston, Every Engineer, Modeling, Simulation