What Every Engineer Should Know About Modeling and Simulation 1st Edition by Raymond Madachy, Daniel Houston 1138297500 9781138297500

What Every Engineer Should Know About Modeling and Simulation 1st Edition by Raymond J. Madachy, Daniel X. Houston – Ebook PDF Instant Download/Delivery:  1138297500, 9781138297500 

Full download What Every Engineer Should Know About Modeling and Simulation 1st Edition after payment

Product details:

ISBN 10: 1138297500 

ISBN 13: 9781138297500

Author:  Raymond J. Madachy, Daniel X. Houston 

This practical book presents fundamental concepts and issues in computer modeling and simulation (M&S) in a simple and practical way for engineers, scientists, and managers who wish to apply simulation successfully to their real-world problems. It offers a concise approach to the coverage of generic (tool-independent) M&S concepts and enables engineering practitioners to easily learn, evaluate, and apply various available simulation concepts. Worked out examples are included to illustrate the concepts and an example modeling application is continued throughout the chapters to demonstrate the techniques. The book discusses modeling purposes, scoping a model, levels of modeling abstraction, the benefits and cost of including randomness, types of simulation, and statistical techniques. It also includes a chapter on modeling and simulation projects and how to conduct them for customer and engineer benefit and covers the stages of a modeling and simulation study, including process and system investigation, data collection, modeling scoping and production, model verification and validation, experimentation, and analysis of results.

What Every Engineer Should Know About Modeling and Simulation 1st 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

People also search for What Every Engineer Should Know About Modeling and Simulation 1st:

what every engineer should know about memory
 
what every engineer should know about software engineering pdf
 
what every engineer should know about risk engineering and management
 
what every engineer should know about excel
 
what every engineer should know about reliability and risk analysis

Tags: About Modeling, Simulation, Raymond Madachy, Daniel Houston