Introduction to Management Science, 4e, offers a unique model approach and
integrates the use of Excel.
Through this approach students are better able to grasp
the essential concepts covered in the course and see their utility.
Each chapter includes a case study that is meant to show
the students a real and interesting application of the topics addressed in that chapter.
These cases and related applications cut across all
functional areas of business and show how management science techniques apply in the
business environment.
Table of Contents
Chapter 1: Introduction
Chapter 2: Linear Programming: Basic Concepts
Chapter 3: Linear Programming: Formulation and Applications
Chapter 4: The Art of Modeling with Spreadsheets
Chapter 5: What-If Analysis for Linear Programming
Chapter 6: Network Optimization Problems
Chapter 7: Using Binary Integer Programming to Deal with Yes-or-No Decisions
Chapter 8: Nonlinear Programming
Chapter 9: Decision Analysis
Chapter 10: Forecasting
Chapter 11: Queueing Models
Chapter 12: Computer Simulation: Basic Concepts
Chapter 13: Computer Simulation with Crystal Ball
Appendix A: Using the Solver Table
Appendix B: Tips for Using Microsoft Excel for Modeling
Appendix C: Partial Answers to Selected Problems
Supplements on the CD-ROM:
Supplement to Chapter 2: More about the Graphical
Method for Linear Programming
Supplement to Chapter 5: Reduced Costs
Supplement to Chapter 6: Minimum Spanning-Tree Problems
Supplement 1 to Chapter 7: Advanced Formulation
Techniques for Binary Integer Programming
Supplement 2 to Chapter 7: Some Perspectives on
Solving Binary Integer Programming Problems
Supplement to Chapter 9: Decision Criteria
Supplement to Chapter 10: Time-Series Forecasting with CB Predictor
Supplement to Chapter 11: Additional Queueing Models
Supplement to Chapter 12: The Inverse Transformation Method for Generating Random
Observations
Chapters on the CD-ROM:
Chapter 14: Solution Concepts for Linear Programming
Chapter 15: Transportation and Assignment Problems
Chapter 16: PERT/CPM Models for Project Management
Chapter 17: Goal Programming
Chapter 18: Inventory Management with Known Demand
Chapter 19: Inventory Management with Uncertain Demand
640 pages, Paperback
