Chapter

Six Sigma with R

Volume 36 of the series Use R! pp 91-100

Date:

Pareto Analysis with R

  • Emilio L. CanoAffiliated withDepartment of Statistics and Operations Research, Rey Juan Carlos University
  • , Javier M. MoguerzaAffiliated withDepartment of Statistics and Operations Research, Rey Juan Carlos University
  • , Andrés RedchukAffiliated withDepartment of Statistics and Operations Research, Rey Juan Carlos University

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Abstract

Pareto analysis is a technique that can be used in several stages of a Six Sigma project. In the Measure phase of the design, measure, analyze, improve, and control cycle, we use it to prioritize the possible causes of defects and then focus on the important ones. The basis of Pareto analysis is the Pareto principle, which applies to many processes in real life. Roughly speaking, the Pareto principle states that most effort/benefit (approximately 80%) is due to a limited number of key actions (approximately 20%). It is also known as the 80/20 rule. A search for these key actions is usually made using a Pareto chart, a tool that allows us to see at a glance the results of a Pareto analysis. In this chapter, we show how a Pareto analysis can be applied to detect important improvement opportunities in a Six Sigma project.