Quantitative Analysis for Management, 13/e

Chapter 7 Linear Programming Models: Graphical and Computer Methods

Learning Objectives

After completing this chapter, students will be able to:

1. 7.1 Identify the basic assumptions and properties of linear programming (LP).

2. 7.2 Formulate a linear programming problem algebraically.

3. 7.3 Graphically solve any LP problem that has only two variables by both the corner point and the isoprofit line methods.

4. 7.4 Use Excel spreadsheets to solve LP problems.

5. 7.5 Understand the difference between minimization and maximization objective functions.

6. 7.6 Understand special issues in LP such as infeasibility, unboundedness, redundancy, and alternative optimal solutions.

7. 7.7 Understand the role of sensitivity analysis.

Many management decisions involve ...