Page 21 -

Chapter 1

Introduction

1.1 Introduction to Management Science 1.5 Models
1.2 Where Did MS Come From? 1.6 Models of Cost, Revenue, and Profit
Cost and Volume Models
1.3 Management Science Applications
Revenue and Volume Models
Assignment
Profit and Volume Models
Data Mining
Breakeven Analysis
Financial Decision Making
Forecasting 1.7 The Modelling Process
Logistics
1.8 Management Science Models and Techniques
Marketing
Linear Programming
Networks
Transportation and Assignment
Optimization
Integer Linear Programming
Project Planning and Management
Network Models
Queuing
Project Management
Simulation
Inventory Models
Transportation
Queuing Models
1.4 The MS Approach Simulation
Problem Recognition Decision Analysis
Problem Structuring and Definition Multicriteria Analysis
Modelling and Analysis Forecasting
Solutions and Recommendations Dynamic Programming
Implementation

Learning objectives By the end of this chapter you will be able to:

l Explain what management science is

l Detail areas in business where management science is commonly used
l Describe the management science approach or methodology

l Build and use simple quantitative models

1

Copyright 2014 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has
deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.