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Simulation Modeling and Analysis (McGraw Hill Series in Industrial Engineering and Management Science), by Averill M. Law, W. David Kelton
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For courses in simulation offered at the advanced undergraduate or graduate level in departments of industrial engineering or schools of business, this text provides a state-of-the-art treatment of all of the important aspects of a simulation study, including modelling, simulation software, validation, selecting input probability distributions, and output data analysis. The new edition includes the most up-to-date research developments and many more examples and problems.
- Sales Rank: #1192766 in Books
- Published on: 1991-01-01
- Original language: English
- Number of items: 1
- Dimensions: 9.75" h x 7.00" w x 1.25" l,
- Binding: Hardcover
- 544 pages
About the Author
Averill Law (Tucson, AZ) is the founder of Averill M. Law & Associates. David Kelton (Cincinnati, OH) is a member of the faculty in the Department of Quantitative Analysis at the University of Cincinnati.
Most helpful customer reviews
6 of 10 people found the following review helpful.
Read it if you need to write your first simulation program
By Dmitry Vostokov
Before reading this book I didn't have a clue about simulation modeling, but after reading the first few chapters I was able to write my first simulation program in C++. Although authors use C language and global data for simulation state, you can easily apply the concept of simulation state to any object-oriented language and replace global simulation state with object state.
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.
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
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