[Book Cover]

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/CD-ROM
ISBN 0-13-021538-4

[CD Included]

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For undergraduate/graduate level courses in Management Science, Quantitative Analysis, and Decision Models. This best-selling 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 spreadsheet-based 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 real-world 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 custom-built Excel add-in 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 add-in used for risk analysis and simulation. Crystal Ball solutions are referenced in Chapter 15, Simulation Modeling.
TreePlan—is a popular spreadsheet add-in for decision analysis. TreePlan is referenced in Chapter 4, Decision Trees with Utility Theory.
QM for Windows—Prentice Hall's popular and easy-to-use 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 CD-ROM. 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 Just-in-Time 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 CD-ROM 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.

Table of Contents
    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.
    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 Self-Tests.
    Module 1: Statistical Quality Control.
    Module 2: Dynamic Programming.
    Module 3: Decision Theory and the Normal Distribution.
    Module 4: Material Requirements Planning and Just-In-Time Inventory.
    Module 5: Mathematical Tools: Determinants and Matrices.
    Module 6: The Binomial Distribution.


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