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Product Description
Product Description
The book can serve as the primary text for a variety of courses; for example:
• A first course in simulation at the junior, senior, or beginning-graduate-student level in engineering, manufacturing, business, or computer science (Chaps. 1 through 4, and parts of Chaps. 5 through 9). At the end of such a course, the students will be prepared to carry out complete and effective simulation studies, and to take advanced simulation courses.
• A second course in simulation for graduate students in any of the above disciplines (most of Chaps. 5 through 12). After completing this course, the student should be familiar with the more advanced methodological issues involved in a simulation study, and should be prepared to understand and conduct simulation research.
• An introduction to simulation as part of a general course in operations research or management science (part of Chaps. 1, 3, 5, 6, and 9).
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This is a book about techniques for using computers to imitate, or simulate, the operations of various kinds of real-world facilities or processes. Read the first page
Concordance
Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
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Customer Reviews
Very clear also the modeling chapters. Fortran, C and Pascal code example may be a little bit outdated but still usefull and clarifying. I like this book also because it is rigorous and selfcontained (at least for people with scientific background).
If you're a working stiff now, but you were a student
as I was, who sent stuff "down the memory hole," only to
discover years later that you really needed to DO
simulation--AARGHH!!!--then Law and Kelton's book is
what you'll need close at hand.
The coverage is complete, including basic material
on input probability distributions; random number generators
and testing (most useful for students); and output data
analysis. Solid, more practice-oriented chapters cover
variance reduction, experimental design (could borrow
more from Kleijnen's work), and software. A final chapter
gives an in-depth approach to manufacturing simulation.
Unfortunately, some material is dated. For example,
the software chapter addresses SIMAN/Cinema, which
Systems Modeling Corporation has (thankfully!) replaced
with ARENA (though SIMAN is still the basic simulation
language). The book gives overviews of several
simulation modeling languages; practitioners doing
trade studies choosing "the corporate simulation tool"
will be grateful for this ecumenicism.
The chapter covering validation and
verification could afford to borrow more from current
software engineering practice. Also, simulation modeling
approaches for network computing and communications
would comprise a good extra chapter (Law gives a short
course on the subject).
Law and Kelton isn't light reading, but it's not a dry
handbook, either. If you've had some light programming
experience and vaguely recall your stats class, you'll find
it approachable.
But this book is mostly the timeless stuff you'll need to
get your work done. With the recent proliferation of
inexpensive simulation software, companies are thrusting
simulation work on engineers and system/software
analysts who have little or no training. They should keep
and use Law and Kelton's book, which provides both
good skills and a roadmap to laying out and finishing a
simulation project.
But I give Law and Kelton's book one of my highest
compliments: Expensive technical books
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