What every engineer should know about modeling and simulation / Raymond Joseph Madachy and Dan X. Houston.
| Author/creator | Madachy, Raymond J. author. |
| Other author | Houston, Dan (Daniel Xavier), author. |
| Format | Electronic |
| Publication | Boca Raton : CRC Press, [2018] |
| Description | 1 online resource (xix, 151 pages). |
| Supplemental Content | ProQuest Ebook Central |
| Subjects |
| Series | What every engineer should know ; 49 What every engineer should know 49. ^A238765 |
| 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. |
| Contents | 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. |
| Contents | 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. |
| Contents | 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. |
| Contents | 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. |
| Abstract | 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. |
| Bibliography note | Includes bibliographical references and index. |
| Source of description | Vendor-supplied metadata. |
| Issued in other form | Print version: 9781138297500 113829750X |
| Genre/form | Electronic books. |
| ISBN | 9781498753128 (electronic bk.) |
| ISBN | 1498753124 (electronic bk.) |
| ISBN | 9781315152608 (electronic bk.) |
| ISBN | 1315152606 (electronic bk.) |
| ISBN | (hardback) |
| ISBN | (hardback) |
| ISBN | (pbk.) |
| ISBN | (pbk.) |