Gary D. Eppen , the
University of Chicago
Floyd J. Gould , the University of Chicago
Charles P. Schmidt , University of Alabama
Jeffrey H. Moore , Stanford University
Larry R. Weatherford , University of Wyoming
Published December 1997 by
Prentice Hall Business Publishing
Copyright 1998, 762 pp.
Cloth Bound with Disk ISBN
0-13-889395-0
This highly-esteemed text introduces readers to the key ideas of modeling and management
decision making that will be important to them throughout their careers. Addressing the
needs of readers interested in both business administration and decision science careers,
the book provides a conceptual foundation for all topics and the role of spreadsheet
modeling techniques in the larger context of business decision-making.
The text is divided into four
parts; the first deals with general modeling issues; the second with deterministic models;
the third with probabilistic (stochastic) models; and the fourth with implementation
issues for applying models in organizations.
Retains well-known authors;
unequaled coverage of linear programming; a wealth of realistic, relevant examples from
both the service and manufacturing sectors of the economy; full integration of spreadsheet
applications; and an emphasis on real-world managerial decision-making
Provides real-world
applications via chapter-opening vignettes that show how the techniques discussed in each
chapter have actually been applied by corporations, government agencies, and other
organizations to solve a variety of problems in diverse situations. Updated "Application
Capsules" are included in each chapter.
Preface.
I. MODELS AND MODELING.
1. Introduction to
Modeling.
2. Spreadsheet Modeling.
II. OPTIMIZATION.
3. Linear Optimization.
4. Linear Programming: Graphical Analysis.
5. LP Models: Interpreting Solver Sensitivity Report.
6. Linear Programming: Applications.
7. Integer Optimization.
8. Nonlinear Optimization.
9. Multi-Objective Decision Making and Heuristics.
III. PROBABILISTIC MODELS.
10. Decision Analysis.
11. Monte Carlo Simulation.
12. Queuing.
13. Forecasting.
14. Project Management: PERT and CPM.
Appendix A: Basic Concepts in Probability.
Appendix B. Excel Features Useful for Modeling.
Appendix C. Solver Tips and Messages.
Index.
