What Every Engineer Should Know About Modeling and Simulation

Name: What Every Engineer Should Know About Modeling and Simulation
Brand: Taylor & Francis
SKU: 9781138297500
Price: 376.0 NZD
Availability: InStock

By Raymond J. Madachy and Daniel Houston

Series: What Every Engineer Should Know

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Summary

What Every Engineer Should Know About Modeling and Simulation offers a clear and practical introduction to essential concepts in computer modelling and simulation for engineers, scientists, and managers. It covers tool-independent principles, addressing modelling purposes, abstraction levels, randomness, simulation types, and statistical methods. The book uses worked examples and a continuous modelling project to illustrate techniques, guiding readers through the entire simulation study process from initial investigation to validation and analysis.
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Format: Hardback

$376⁰⁰

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What Every Engineer Should Know About Modeling and Simulation

$376⁰⁰

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This book is ideal for engineering practitioners and professionals seeking to understand and apply modelling and simulation effectively to real-world problems, as well as managers overseeing such projects.

The book covers applying modeling and simulation to engineering problems, modeling purposes, scoping a model, levels of modeling abstraction, benefits and cost of including randomness, types of simulation, and statistical techniques. No prior experience is needed. It shows how to conduct a M/S project and how to work with simulation experts.

Description

This practical book presents fundamental concepts and issues in computer modelling 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 modelling application is continued throughout the chapters to demonstrate the techniques.

The book discusses modelling purposes, scoping a model, levels of modelling abstraction, the benefits and cost of including randomness, types of simulation, and statistical techniques.

It also includes a chapter on modelling and simulation projects and how to conduct them for customer and engineer benefit. The chapters cover the stages of a modelling and simulation study, including process and system investigation, data collection, modelling scoping and production, model verification and validation, experimentation, and analysis of results.

What Every Engineer Should Know About Modeling and Simulation provides comprehensive guidance for those looking to integrate M&S into their professional practice.

Series: What Every Engineer Should Know

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What Every Engineer Should Know About Modeling and Simulation

By Raymond J. Madachy and Daniel Houston

Hardback

$376⁰⁰

Available
Ships in 4-6 weeks

Book Details

INFORMATION

ISBN: 9781138297500

Publisher: Taylor & Francis Ltd

Format: Hardback

Date Published: 21 August 2017

Country: United Kingdom

Imprint: CRC Press

Illustration: 50 Illustrations, black and white

Audience: Professional and scholarly

DIMENSIONS

Width: 156.0mm

Height: 234.0mm

Weight: 453g

Pages: 152

Collections

Computing & Technology Daniel Houston Education & Reference Engineering, Technology & Agriculture Non-Fiction Raymond J. Madachy Science & Nature Series: What Every Engineer Should Know

About the Author

Dr. Raymond Madachy is an Associate Professor in the Systems Engineering Department at the Naval Postgraduate School. Previously he was a Research Assistant Professor in the Industrial and Systems Department at the University of Southern California and a Principal in the USC Center for Systems and Software Engineering. He has 25 years of experience working in industry, academia and consulting in technical and management positions. His research interests include modeling and simulation of processes for architecting and engineering of complex systems; system cost modeling; systems and software measurement; process improvement and quality; integrating systems engineering and software engineering disciplines, and empirical-based research with process simulation. He has over 90 publications including the book Software Process Dynamics.

Dr. Dan Houston is a Sr. Project Leader at The Aerospace Corporation in Los Angeles, California, U.S.A. His work is applying quantitative methods, particularly using statistics and simulation, to software engineering. His industrial background includes software development, Six Sigma Black Belt, and software measurement. He received M.S. and Ph.D. degrees in Industrial Engineering at Arizona State University. His publications include work on statistical modeling and simulation of software development processes, software process improvement, and the management of software projects, particularly the aspects of risk, product quality, and economics.

What Every Engineer Should Know About Modeling and Simulation