What Every Engineer Should Know About Modeling And Simulation
by Raymond Joseph Madachy /
2017 / English / PDF
6.7 MB Download
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.
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.