Introduction to Management Science Chapter 6 solutions

Chapter 1

Intro to Management Science

Body of Knowledge

The body of knowledge involving quantitative approaches to decision making is

referred to as

oManagement Science

oOperations Research

oDecision Science

It had its early roots in World War II and is flourishing in business and industry due,

in part, to:

oNumerous methodological developments (e.g. simplex method for solving

linear programming problems)

oA virtual explosion in computer power

2 - 1

Chapter 2

An Introduction to Linear Programming

Learning Objectives

1. Obtain an overview of the kinds of problems linear programming has been used to solve.

2. Learn how to develop linear programming models for simple problems.

3. Be able to identify the special features of a model that make it a linear programming model.

4. Learn how to solve two variable linear programming models by the graphical solution procedure.

5. Understand the importance of extreme points in obtaining the optimal solution.

6. Know the use and interpretation of slack and surplus variables.

7. Be able to interpret the computer solution of a linear programming problem.

8. Understand how alternative optimal solutions, infeasibility and unboundedness can occur in linear

programming problems.

9. Understand the following terms:

problem formulation feasible region

constraint function slack variable

objective function standard form

solution redundant constraint

optimal solution extreme point

nonnegativity constraints surplus variable

mathematical model alternative optimal solutions

linear program infeasibility

linear functions unbounded

feasible solution

Solutions Manual for Introduction to Management Science Quantitative Approaches to Decision Making 14th Edition by Anderson

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