Learn how to carry out a measurement system analysis to ensure that your data is valid. In this video, Dr. Richard Chua discusses how to carry out a attribute agreement analysis, and a gage repeatability and reproducibility analysis.
- Let's say a customer calls customer service…with a complaint.…John, the customer service rep, talks to the customer…and classifies the complaint as reason code A…and if the same customer calls again the next day…and John classifies the complaint as reason code C,…we say we have a repeatability problem.…There is lack of agreement within the same appraiser.…Then what if the same customer calls again…with the same issue, but this time, Mary picks up the call…and she classifies it as reason code B?…We call this a reproducibility problem.…
There is lack of agreement between the different appraisers.…But who's correct?…What if the you compared their classifications…with the experts?…We call this measure appraiser agreement with the expert.…To solve this problem, we need a valid measurement system.…A measurement system is the entire system…used for measuring data.…This includes sensors, instruments, gages, procedures…and human operators or appraisers.…
Validating the measurement system is critical…before data can be collected and used.…
Dr. Richard Chua builds upon his Six Sigma Foundations and Learning Minitab courses, and covers an array of topics, including measurement system analysis, descriptive statistics, hypothesis testing, design of experiments, statistical process control, and more.
Lynda.com is a PMI Registered Education Provider. This course qualifies for professional development units (PDUs). To view the activity and PDU details for this course, click here.
The PMI Registered Education Provider logo is a registered mark of the Project Management Institute, Inc.
- Six Sigma and the organization
- Collecting the voice of the customer
- Project management basics
- Process maps
- Sampling in data collection
- Measurement system analysis
- Measuring performance using descriptive statistics
- Process performance measures
- Hypothesis testing
- Testing for means, variances, proportions, and independence
- Correlation and regression
- Using selection matrices
- Using failure modes and effects analysis
- Developing control plans
- Statistical process control