Using the knowledge gained from the course, PDS 240 Lean Six Sigma: Foundations you will further explore the DMAIC framework through data gathering and analysis. During this two-day, highly interactive workshop, you will apply statistical techniques to organizational data using statistical software in a lab setting. You will explore the statistical distributions and exploratory data analysis that is characteristic to Six Sigma methodologies. Upon successful completion of this course, you will be prepared to start your quality improvement project.
By completion of this course, successful students will be able to:
- Employ basic probability concepts and describe various distributions as they apply to statistical process control and probability.
- Examine appropriate data analysis tools for sampling plans, statistical reviews, and validation to determine which root causes contribute significantly to the project output
- Describe an appropriate sample and what model would be best suited to explain the behaviour of output variables in relation to input variables
- Describe the difference between statistical and practical significance, correlation, and causation
- Perform basic statistics, Value Stream Mapping, and Process Value Analysis
- Practice applying data analysis techniques to data sets using statistical software
- Produce summaries of all the findings from statistical validation or process value analysis
- Evaluate problems in the process that cause defects and determine if these problems are the root causes of defects.
Students are strongly encouraged to complete PDS 240 Lean Six Sigma for Green Belts: Foundations prior to registering for this course.
Students must have basic statistical knowledge.