Course Overview
Introduces the concept of Six Sigma and its application. The course covers the Define-Measure-Analyze-Improve-Control ( DMAIC) model and the problem solving approach used to make improvements. Topics include: the history and value of six sigma, project charter, voice of the customer, process characteristics, measurement systems analyses, data types, multi-variable studies, data analysis techniques, nonparametric statistics, failure mode and effects analysis (FMEA), cycle time reduction, variance reduction, kaizen, statistical process control and design for six sigma. This course is designed to help candidates prepare for the CSSBB certification examination of the American Society for Quality.
Prerequisite(s)
- 50% in OPMT 1720
Credits
3.0
- Retired
- This course has been retired and is no longer offered. Find other Flexible Learning courses that may interest you.
Learning Outcomes
Upon successful completion of this course, the student will be able to:
- Apply the DMAIC problem solving approach.
- Implement a risk analysis project using FMEA.
- Analyse data to effectively communicate results.
- Analyse tests including sample size determination.
- Quantify the proportion of variability in a data set attributed to the measurement system.
- Recommend improvements as a result of data and variability analyses.
- Demonstrate how to reduce process variability for quality improvement.
Effective as of Fall 2013
Programs and courses are subject to change without notice. Find out more about BCIT course cancellations.