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The Science of Decision Making: A Problem-Based Approach Using Excel [Paperback]

Eric V. Denardo (Author)
3.0 out of 5 stars  See all reviews (2 customer reviews)

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Book Description

0471318272 978-0471318279 August 28, 2001 1
Provides the reader with a perspective on the efficient operation of complicated systems.
* Spreadsheets are used to employ and teach techniques.
* Includes the facets of probability that relate to decision making.

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Editorial Reviews

From the Back Cover

Learn how to model and solve real decision-making problems using Excel.

This book is a practical, accessible, engaging, and deeply penetrating introduction to the science of decision making. It is a successful fusion of problem-based learning and spreadsheet computation with decision science. It surveys the modfels of operations research and of probability.

As you work through the problems within the chapters, you will acquire a potent set of tools for solving problems, and you'll see how to make practical use of them. You will find examples from engineering, economics, finance, operations management, business, medical decision making, and the sciences. You will see how to use the methodology in a variety of academic disciplines and career paths.

Features:

  • Problem-based learning enhanced by realistic examples drawn from a broad range of disciplines.
  • Depth of understanding, enabled by the marriage of the methods of operations research with spreadsheet computation.
  • Breadth of coverage, welding models of probability to those of decision making.
  • Self-contained as concerns Excel.
  • Useful Add-Ins. A link to the related website, which contains Premium Solver for Education. TreePlan. RiskSim. several useful functions and appropriate data sets.

About the Author

Educated at Princeton and Northwestern Universities, Eric V. Denardo worked for AT&T and The Rand Corporation before joining the faculty of Yale University. His work is noted for its breadth, innovation, and elegance.

Product Details

  • Paperback: 720 pages
  • Publisher: Wiley; 1 edition (August 28, 2001)
  • Language: English
  • ISBN-10: 0471318272
  • ISBN-13: 978-0471318279
  • Product Dimensions: 10.9 x 8.2 x 1.7 inches
  • Shipping Weight: 3.5 pounds (View shipping rates and policies)
  • Average Customer Review: 3.0 out of 5 stars  See all reviews (2 customer reviews)
  • Amazon Best Sellers Rank: #891,592 in Books (See Top 100 in Books)

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19 of 20 people found the following review helpful:
5.0 out of 5 stars Best OR book for beginners on the market -- by far!, January 11, 2005
This review is from: The Science of Decision Making: A Problem-Based Approach Using Excel (Paperback)
Professor Denardo's textbook is written in absolutely the most crystal clear way possible and is thus not only completely accessible to beginners. It can also serve as a bridge for those with less mathematical background into OR and economics at the higher mathematical level.

The chapters on linear programming at the beginning of the book show the reader the intuitive reasoning of the simplex method. In the third-to-last chapter of the book, Denardo introduces the requisite matrix algebra (again his exposition of this is a complete gem for someone who didn't quite "get" linear algebra before reading this book), and then he shows the actual algorithm for simplex method in the second-to-last chapter. the final chapter is about LP duality and its extensions to things like general equilibrium, the Max-flow-min-cut, and other applications. Denardo's extensive use of excel in these chapters is done in a way that is a huge aid to the student's understanding.

I should also note that the chapters on game theory, integer programming, and dynamic programming are excellent for the introductory student.

My one complaint is that this book needs a sequel. Denardo is an excellent writer, and I would love to see an advanced general OR text, which uses the last chapters of this introductory book as a point of departure.
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1 of 2 people found the following review helpful:
1.0 out of 5 stars displeased, April 16, 2009
This review is from: The Science of Decision Making: A Problem-Based Approach Using Excel (Paperback)
I'm not a fan of this book. The explanations are long and somewhat confusing. If you spend hours and hours wading through sections you might figure stuff out, but it's no straightforward. Also, the cd that comes with the book only works with older versions of Excel (2003). I think I used this book maybe 3 times for a class I took and it didn't help at all.
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Inside This Book (learn more)
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
base stock model, unintended option, feasible pivot, expected inventory position, respective linear programs, tailored spreadsheet, diskette that accompanies this text, program whose optimal solution, two balanced dice, unbounded linear program, yield management problem, critical fractile, wraparound arc, current shipping cost, nonbasic variable whose, incremental network, normal loss function, basic solution feasible, nth patient, highest efficiency ratio, needle exchange experiment, nonrandomized strategies, cut whose capacity, anticycling rule, economic lot size model
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Olde England, Perturbation Theorem, Duality Theorem, Solver Parameters, Central Limit Theorem, Add Constraint, Superposition Theorem, Integrality Theorem, New Haven, New York, World War, Subtree Expander, National League, Ace of Spades, United States, Von Neumann, Outcome Probability, Augmenting Path Method, Copy Figure, Punxsutawney Pete, Telecommunications Traffic, Western Electric, Adirondack Life, Evolutionary Solver, Multiperiod Production Plan
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