Title Statements
- Full title :What every engineer should know about modeling and simulation / Raymond Joseph Madachy and Dan X. Houston.
Summary
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.
Read More ↓Edition Statements
- Publication Date:2018
Publication Statements
- Publisher(s):CRC Press
- Place of Publication:Boca Raton
- Language:eng
- Publication Date:2018
The Physical Object
- Description:1 online resource (xix, 151 pages)
Edition Identifiers
- ISBN:9781498753128, 1498753124, 9781315152608, 1315152606, 1351648640, 9781351648646
- oclc:on1003099801
- LC Classification:TA177
- Dewey Decimal:620.001/1
Table of Contents
Cover ; Half title ; Series Editor; Title ; Copyright ; Dedication; Contents; Preface; List of Figures; List of Tables; 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 Model Types ; 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 Genera…
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