Chapter 1 Introduction to Quantitative Analysis

Learning Objectives

After completing this chapter, students will be able to:

  1. 1.1 Describe the quantitative analysis approach and understand how to apply it to a real situation.

  2. 1.2 Describe the three categories of business analytics.

  3. 1.3 Describe the use of modeling in quantitative analysis.

  4. 1.4 Prepare a quantitative analysis model.

  5. 1.5 Use computers and spreadsheet models to perform quantitative analysis.

  6. 1.6 Recognize possible problems in using quantitative analysis.

  7. 1.7 Recognize implementation concerns of quantitative analysis.

People have been using mathematical tools to help solve problems for thousands of years; however, the formal study and application of quantitative techniques to practical decision making is largely a product of the twentieth century. The techniques we study in this book have been applied successfully to an increasingly wide variety of complex problems in business, government, health care, education, and many other areas. Many such successful uses are discussed throughout this book.

It isn’t enough, though, just to know the mathematics of how a particular quantitative technique works; you must also be familiar with the limitations, assumptions, and specific applicability of the technique. The successful use of quantitative techniques usually results in a solution that is timely, accurate, flexible, economical, reliable, and easy to understand and use.

In this and other chapters, there are QA (Quantitative Analysis) in Action boxes that provide success stories on the applications of management science. They show how organizations have used quantitative techniques to make better decisions, operate more efficiently, and generate more profits. For example, Taco Bell has reported saving over $150 million with better forecasting of demand and better scheduling of employees. NBC television increased advertising revenue by over $200 million by using a model to help develop sales plans for advertisers. Before it merged with United Airlines, Continental Airlines saved over $40 million a year by using mathematical models to quickly recover from disruptions caused by weather delays and other factors. These are but a few of the many companies discussed in QA in Action boxes throughout this book.

To see other examples of how companies use quantitative analysis or operations research methods to operate better and more efficiently, go to the website www.scienceofbetter.org. The success stories presented there are categorized by industry, functional area, and benefit. These success stories illustrate how operations research is truly the “science of better.”

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