Thursday, March 24, 2011

Six Sigma for Engineers And Statisticians

Engineers and Statisticians have an important role to play in the arena of Six Sigma. Quality Engineers have the training and the capability to identify the defects due to which the quality of the final product is suffering. DMAIC which forms the basis of any six Sigma process can be easily followed and implemented by a an engineer as an engineer has a perspective that gives him the quality of being planned and looking at things in a systematic manner than any layman.
Quality Engineers can easily form the leadership by taking up roles of Black Belts Mentors and Champions and thus leading their team’s wit their vision and leadership qualities. Defining, Measuring, analyzing, Improving and controlling a process according to the parameters in the Project will surely lead to the ultimate goal of reaching the Six Sigma level.
Statisticians do have an important role in getting to the bottom of facts and figures. Measurement of the quality improvement and the scope of more improvement can be measures accurately by statisticians. Statisticians should also work on problems whose strategic importance or technical complexity is beyond that of the team. Statistical methods that are robust and user friendly should be employed so that all team members of Six Sigma are able to access and measure their success with ease. A statistician should be on the lookout for better and more innovative tools in the market that can be of help in the Six Sigma Project.
As part of their leadership role, statisticians and quality engineers should become visible advocates for Six Sigma and promote the approach and its benefits at every opportunity. It’s of utmost importance for these quality engineers and statisticians to be well versed with the techniques of six sigma. Thus they should be possessing the relevant skill and have ample of experience in implementing the Six sigma strategies across the functions of that have been taken under the preview of six sigma.
It’s not the statistical methods that play an important role in the process there are several other techniques which have to be followed while implementing Six Sigma in an organization.
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