
Quantitative Analysis for Management, 7/e
Barry Render, Rollins College
Ralph M. Stair, Florida State University
Published August, 1999 by Prentice Hall Business Publishing
Copyright 2000, 766 pp.
Cloth Bound w/CDROM
ISBN 0130215384

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For undergraduate/graduate level courses in Management Science,
Quantitative Analysis, and Decision Models.
This bestselling text has long been considered one of the
most student accessible texts for the management science course. The
new edition retains and updates the traditional, comprehensive coverage
of past editions but now adds spreadsheetbased problem solutions
to most chapters of the text. In addition, the text is now packaged
with free software.
Accessible, Comprehensive Coverage—Designed for
optimal flexibility, this text covers every major topic in the field,
showing how each technique works, discussing the assumptions and limitations
of the models, and illustrating their realworld application with
many exercises and cases.
 Gives students a full view of management science concepts
and how they apply to the real world with lots of examples for reinforcement.
New Software solutions—While retaining the traditional
coverage of management science techniques, this edition has expanded
the coverage of software solutions in the following ways:
—Excel—optional Excel solutions are integrated into
the chapters, showing how to use this popular spreadsheet package
to solve problems.
—Excel QM—is a custombuilt Excel addin that allows
students to solve many problems that standard Excel does not. Solutions
using optional Excel QM are also integrated into appropriate chapters.
—Crystal Ball—is a popular commercial spreadsheet addin
used for risk analysis and simulation. Crystal Ball solutions are
referenced in Chapter 15, Simulation Modeling.
—TreePlan—is a popular spreadsheet addin for decision
analysis. TreePlan is referenced in Chapter 4, Decision Trees with
Utility Theory.
—QM for Windows—Prentice Hall's popular and easytouse
decision support software can be used to solve most of the problems
in this text. Most chapters have appendices showing how to use this
software.
 The versatility of software provides students/instructors
full flexibility on what type of software they want to use to solve
some of the quantitative problems associated with the text.
Free Software—The software tools, Excel QM, a
student version of Crystal Ball, TreePlan, and QM for Windows are
all provided free with the book. These packages provide quality software
solution to all the problems in the text. QM for Windows has previously
been offered at an additional cost, now we are providing is for free.
 An exceptional value to have all these software tools
at no additional cost so students can use these packages to solve
the examples in the text.
Optional Chapters—In an attempt to keep the length
of the book reasonable, 6 chapters have been placed on the student
CDROM. These chapters have been converted to PDF files and can be
read with Acrobat Reader (also provided on the CD). They look exactly
like the text chapters and can be read from the CD or printed. These
6 chapters are: Statistical Quality Control, Dynamic Programming,
Decision Theory and the Normal Distribution, MRP and JustinTime
Inventory, Mathematical Tools: Determinants and Matrices, and The
Binomial Distribution.
 Streamlines the text, making it more manageable to cover
within the time allotted. With having these 6 additional chapters
on the CDROM that instructors have the flexibility to cover them
or not.
Case Studies—Each chapter has one to four cases,
more than any other text. Plus, more cases are posted on the website.
 Provides extensive examples of how real companies apply
the management science techniques to real situations.
1. Introduction to Quantitative Analysis.
Supplement 1: Game Theory
2. Probability Concepts and Applications.
3. Fundamentals of Decision Theory Models.
4. Decision Trees with Utility Theory.
5. Forecasting.
6. Inventory Control Models.
7. Linear Programming Models: Graphical and Computer Methods.
8. Linear Programming Modeling Applications: With Computer
Analyses in Excel and QM for Windows.
9. Linear Programming: The Simplex Method.
10. Transportation and Assignment Models.
11. Integer Programming, Goal Programming, Nonlinear Programming,
and Branch and Bound Models.
Supplement 11: Analytic Hierarchy Process.
12. Network Models.
13. Project Management.
14. Waiting Lines and Queuing Theory Models.
15. Simulation Modeling.
16. Markov Analysis.
APPENDICES.
Appendix A. Areas Under the Standard Normal Curve.
Appendix B. Unit Normal Loss Integral.
Appendix C. Values of e^…l for use in the Poisson
Distribution.
Appendix D. Using QM for Windows.
Appendix E. Using Excel QM.
Appendix F. Solutions to Selected Problems.
Appendix G. Solutions to SelfTests.
CDROM MODULES.
Module 1: Statistical Quality Control.
Module 2: Dynamic Programming.
Module 3: Decision Theory and the Normal Distribution.
Module 4: Material Requirements Planning and JustInTime
Inventory.
Module 5: Mathematical Tools: Determinants and Matrices.
Module 6: The Binomial Distribution.
