Six Sigma DMAIC: Measuring the Process

Overview/Description
 Would you use your thumb and forefinger to measure how much carpet you need to buy for a new room in your house? By the same token, do you have the right tools for measuring a process in your organization that just isn't working? "Six Sigma DMAIC: Measuring the Process," provides Six Sigma Green Belts and team members with techniques for precisely pinpointing the source of problems--and precisely measuring them. That means you'll learn what to measure, the five types of data that can be collected, the relative strengths of the Defects per Unit (DPU) and Defects per Opportunity (DPO) measurement techniques, and key applications for data stratification. In addition, you'll be supplied with three tools for collecting data, four data sampling methods, and guidelines for creating your own data collection plan.

Target Audience
 Potential Six Sigma Green Belts and other Six Sigma team members in companies that have already made the decision to implement Six Sigma

Expected Duration
5.0 hours

Lesson Objectives:

Data Collection

  • recognize the benefits of learning the fundamentals of sound data collection.
  • select examples of the elements of a data collection plan.
  • match the categories of data (continuous data and discrete data) with examples of their corresponding data types.
  • match the advantages of continuous data and discrete data with examples of each, and match the disadvantages of continuous data and discrete data with examples of each.
  • designate the appropriate data collection technique to use in a given business situation.
  • apply the criteria to develop a valid data sample in a business data collection scenario.

    • Data Measurement

  • recognize the value of measuring the appropriate data.
  • match the three parts of a process that can be measured with examples of each.
  • select examples of the criteria used to ensure a data measurement technique is valid.
  • identify examples of the four data stratification questions in the data stratification model.
  • apply the data stratification model to a hypothetical business problem.
  • match the DPU and DPO defect measurement techniques with examples of each.
  • calculate the appropriate defect measurement technique for a given business scenario.

    • Course Number: OPER0144