Overview/Description
If you were an engineer charged with the health of a dam, would you fix a leak by pressing a cork into the crack? Would you consider such a solution permanent? When a Six Sigma® team imposes control measures on a process it has improved, it does so with the idea of making its improvements long-lasting. The Control phase of the DMAIC model (Define, Measure, Analyze, Inform, Control) doesn't rely on quick fixes. Instead, it applies statistical techniques that will monitor and control whatever variation arises in that improved process over time. A primary Six Sigma control method employed during this phase is statistical process control (SPC). SPC helps a process become, in a sense, self-regulating.
This course, Six Sigma--Statistical Process Control, is a guide to understanding SPC and Six Sigma's strategies for ensuring that Improve phase gains stay fixed. In one lesson, you'll receive an overview of the DMAIC Control phase. In another lesson, you'll be introduced to SPC concepts and the all-important SPC tool, the control chart.
Six Sigma is a registered Trademark of Motorola Corporation, and all rights, title, and interest in Six Sigma belongs to Motorola.
Target Audience
Candidates for Black Belt certification; managers/executives overseeing personnel involved in the implementation of Six Sigma in their organization; consultants involved in implementing a Six Sigma proposal; and organizations implementing a Six Sigma project