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Design of Experiments and Validation of Solutions in Six Sigma

Overview/Description "We are, I think, in the right road of improvement, for we are making experiments," said Benjamin Franklin. In the Improve stage of the DMAIC process, Six Sigma teams design and conduct experiments to study the nature of relationships between input variables and the response variable(s). They do this by controlling and changing the input variables and observing the effects on the response variable(s). After determining what and how much needs to be changed to meet the desired improvement, teams generate solution ideas to optimize the response, and then the ideas are...

Statistical Process Control and Control Plans in Six Sigma

Overview/Description In the final stages of the Six Sigma DMAIC methodology, once process improvement opportunities are identified and implemented, you need to make sure that the improved processes are controlled to sustain the process improvement gains. Statistical process control (SPC) provides tools which can be used to ensure that the processes are continuously monitored, that results are evaluated through the use of various control charts, and that each process is prevented from reverting to its previous state. The goal of this stage is also to develop a control plan to document and hold...

Using Basic Control Charts in Six Sigma

Overview/Description In a Six Sigma DMAIC project, once you've measured your current processes, analyzed the gaps and causes of problems, and improved processes to the desired level, you need to monitor and control them over an extended period of time. The process may show variation, and control charts are used to determine if the variation is natural to the process or if there is another reason for the discrepancy. Control charts can also be used in other stages of Six Sigma – to examine how a process is performing over time and also to identify and analyze any special cause variations....

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