Learn how to mitigate any risk of potential failures in your Six Sigma projects by using Failure Modes and Effects Analysis, or FMEA. In this video, Dr. Richard Chua demonstrates how to develop a Process FMEA.
- Most of us have rented cars while…on vacation or on a business trip.…Sometimes the best laid plans go wrong.…You get to the counter and they…cannot find your reservation, or worse yet,…there are no more cars available.…Which is exactly what you don't want…to see happen with your improved process.…Now that your project team has developed…the solution to improve why, you want to mitigate…any risk of potential failures.…An effective tool for this is the FMEA,…or Failure Modes and Effects Analysis.…
I introduce and discuss the FMEA in Six Sigma Fundamentals.…If you've not seen the FMEA video…or if you need a refresher please review that first.…In this video let's discuss how to develop a process FMEA.…Here is a blank template.…To illustrate how to avoid any potential failures…in your improved process, I'll use the rental car example.…Starting with the first column,…list all process steps of interest on the FMEA worksheet.…
In the partial example shown here…I have listed three process steps.…Regular customers arrive at car rental desk,…
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