Ebook Simulation Modeling and Analysis, by Averill M. Law
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Simulation Modeling and Analysis, by Averill M. Law
Ebook Simulation Modeling and Analysis, by Averill M. Law
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- Sales Rank: #4332879 in Books
- Published on: 2005
- Original language: English
- Number of items: 1
- Dimensions: .0" h x .0" w x .0" l, .0 pounds
- Binding: Paperback
- 760 pages
Most helpful customer reviews
40 of 41 people found the following review helpful.
Complete handbook of discrete-event simulation modeling
By A Customer
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
17 of 19 people found the following review helpful.
A useful reference
By Bob Hoffman
Purchased this book in 1994 when spreadsheet modeling was no longer sufficient. This book gives a good top down view of what's involved in getting mathematically correct results (called verification, ensuring that the problem is being solved correctly). I found particularly useful the sections on variance reduction and output data reduction techniques. Validation (ensuring that the correct problem is being solved) is still the modelers job.
People with technical (mathematical) backgrounds should find this book relatively easy reading. Non-technical (management) types will get bogged down in the first chapter. As in so many things, the devil's in the (mathematical) details.
I basically used the book as a guide to writing an OO-based simulation tool (I ignored most of the included code examples), successfully implementing many of the techniques therein suggested. Where there wasn't sufficient detail, I found references to be sufficient. I still use the text as a reference.
24 of 28 people found the following review helpful.
A must read for anyone interested in simulation
By José A. Sánchez Villanueva
This is must read for simulation. It covers the background required for anyone to work on simulation and modeling. Its chapters about random-number generators, selecting right probability distributions and its parameters, output data analysis or variance reduction techniques are a must for anyone in this area. The treatment is easy to read but without sacrificing rigour. Nevertheless, a basic knowledge on statistics and probability is required. On the other hand, its chapters about modeling performed on fortran, C or pascal are outdated stuff since this software is outdated, but they are useful are a hands-on lesson on how simulation works and must be performed. All in all, a very profitable book.
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