Course Outline

Detailed Agenda and Timetable

Introduction

  • Why many transactional/service Six Sigma projects fail and deployments stall
  • Special considerations to the Six Sigma Methodology for transactional/service projects
  • Transactional/service projects lesson review

Determining What Data is Useful and What Data is Distracting

  • How to properly identify and measure Xs
  • How to approach data collection
  • Striving for the right level of granularity
  • Moving beyond attribute data
  • How to leverage the Six Sigma tools to identify the likely vital Xs
  • Using Gage R&R effectively in transactional/service projects

Data Collection & Management

  • Building information systems that support Six Sigma initiatives
  • Reducing the costs of capturing the right type and volume of data needed
  • Extracting data from existing information systems for Six Sigma project
  • Tying information systems into statistical analysis software like MINITAB and other enterprise reporting systems

Data Monitoring & Response

  • Understanding Voice of the Process
  • Monitoring the right variables
  • Sample size considerations for data monitoring
  • Responding to what the data tells you