Innovation & Quality

Innovation and Quality is dedicated to the discussion of the best current practices to delver the best Customer Experience for businesses and organizations. REVENUE GROWTH ... from delighting your Customers CUSTOMER-VALUED INNOVATION ... to delight your Customers CUSTOMER-FOCUSED QUALITY ... to delight your Customers, and ENGAGING THE ENTIRE COMPANY... to delight your Customers

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Bill Robinson has more than thirty years of experience in business leadership and corporate performance improvement. For many years, Bill was Vice President of Innovation and Quality for Bell Labs. Other leadership positions Bill has held include Vice President of Quality and General Manager of EasyLink Services Corporation and President of Innovation and Quality Solutions. Bill is currently Distinguished Professor of Systems Engineering at Stevens Institute of Technology where he was previously the Director of Systems Engineering. http://www.linkedin.com/in/iqsolutions

Thursday, June 09, 2005

What is Six Sigma – Point 1

Fundamentally, Six Sigma symbolizes a quantitative level of quality that is generally considered to be world-class.

“Sigma” stands for the statistical standard deviation of a set of data, or the measure of the variability of the data, and “Six” represents the number of such standard deviations from the average, or mean, for a normal distribution of data. Think “bell curve”. The more standard deviations you move away from the average, the less chance there is of finding any data (like fewer ‘A+’ grades than the average ‘C’s in school). When applied to the topic of quality, this concept can be used to estimate the capability of a process and the probability of the existence of a defect in a product or service.

The more standard deviations that fit within the specification limits for a process, the lower the probability of a defect and the higher the level of quality. Therefore, a Three Sigma (3 standard deviations) process reflects lower quality than a Six Sigma one, which is 99.99966% accurate and results in less than 3.4 defects per million opportunities of making a defect.

Posted by Bill Robinson