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Shree Phadnis

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The Importance of Statistical Thinking

Six Sigma is the buzzword of today. Companies big and small talk about it and numerous success stories further advertise its relevance in today’s challenging business environment. Debates on its emergence as a strategic initiative have created critics who consider it old wine in a new bottle and loyal followers willing to swear by it….

Save Time With Fractional Factorial DOEs

Design of experiments (DOE) is a key tool in the Six Sigma methodology. DOEs help improve processes in a quantum fashion, and is an approach for effectively and efficiently exploring the cause and effect relationship between numerous process variables (Xs) and the output or process performance variable (Y). DOE helps in the following ways: The…

Are You Sure Your Data Is Normal?

Most processes, particularly those involving life data and reliability, are not normally distributed. Most Six Sigma and process capability tools, however, assume normality. Only through verifying data normality and selecting the appropriate data analysis method will the results be accurate. This article discusses the non-normality issue and helps the reader understand some options for analyzing…


Successful Six Sigma Deployment

All Six Sigma proponents agree to the fact that the key to Six Sigma improvement success is the building up of an effective infrastucture. An effective infrastructure lays the foundation for the success of the organization in its implementation of Six Sigma. It is a known fact today that the success of Six Sigma lays…

Develop Correct Six Sigma Project Metrics

One of the crucial elements of the project charter in the define phase of a Six Sigma project is the selection of project metrics. Project metrics selected should reflect the voice of the customer (customer needs), as well as ensure that the internal metrics selected by the organization are achieved. Metrics selected should be simple…


Make Valid Control Chart and Subgroup Assumptions

Six Sigma practitioners often state that Six Sigma is not about learning statistics, but is instead about understanding which tool to apply to each situation and how to properly interpret the results. We will attempt to understand the meaning of this statement in four real world examples I have experienced in industry. Control Charts Subgrouped…