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Solution to Management Science by Anderson

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Solution to Management Science by Anderson

Page 1 of 149
Solutions Manual to Accompany

An Introduction To
Management Science
Quantitative Approaches
To Decision Making
Twelfth Edition

David R. Anderson
University of Cincinnati

Dennis J. Sweeney
University of Cincinnati

Thomas A. Williams
Rochester Institute of Technology

R. Kipp Martin
University of Chicago

South-Western
Cincinnati, Ohio

Contents
Preface
Chapter
1.

Introduction

2.

An Introduction to Linear Programming

3.

Linear Programming: Sensitivity Analysis and Interpretation of Solution

4.

Linear Programming Applications in Marketing, Finance and Operations Management

5.

Advanced Linear Programming Applications

6.

Distribution and Network Models

7.

Integer Linear Programming

8.

Nonlinear Optimization Models

9.

Project Scheduling: PERT/CPM

10.

Inventory Models

11.

Waiting Line Models

12.

Simulation

13.

Decision Analysis

14.

Multicriteria Decisions

15.

Forecasting

16.

Markov Processes

17.

Linear Programming: Simplex Method

18.

Simplex-Based Sensitivity Analysis and Duality

19.

Solution Procedures for Transportation and Assignment Problems

20.

Minimal Spanning Tree

21.

Dynamic Programming

Preface
The purpose of An Introduction to Management Science is to provide students with a sound conceptual understanding of the role management science pays in the decision-making process. The text emphasizes the application of management science by using problem situations to introduce each of the management science concepts and techniques. The book has been specifically designed to meet the needs of nonmathematicians who are studying business and economics.

The Solutions Manual furnishes assistance by identifying learning objectives and providing detailed solutions for all exercises in the text.

Note: The solutions to the case problems are included in the Solutions to Case Problems Manual.

Acknowledgements

We...