Mathews Malnar and Bailey, Inc. Quality engineering, applied statistical consulting, and training services for R&D, product, process, and manufacturing engineering organizations.

Six Sigma Project Management Course

Prerequisite:
Students are expected to have extensive experience in the following core quality engineering methodologies: quality engineering statistics, acceptance sampling, statistical process control, measurements systems analysis and gage error studies, design of experiments, process capability analysis, sample size calculations, and reliability engineering.

Who Should Take This Course:
This course is intended for veteran quality engineering professionals who have not been trained in the Six Sigma DMAIC or DMADV methods but who have extensive experience in the core quality engineering methodologies.

Course Description:
This course is one module from our complete Lean Six Sigma Black Belt course offering. This course teaches students how to integrate the core quality engineering methodologies into the Six Sigma DMAIC (Define, Measure, Analyze, Improve, and Control) improvement process for existing processes and the Six Sigma DMADV (Define, Measure, Analyze, Design, Verify) process for new process development.

Course Format:
The course is taught in six four-hour sessions for a total of 24 contact hours.



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