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Statistics and Six Sigma

Statistics and Six Sigma . In 1925 , Shewhart Whalter known as the father of quality control once said that : “The contribution is not seen statistics on how many employees you are a statistician , but how successful you embed statistical mindset at the technicians , production , and Engineer who formed you in the future ” . What people are saying Shewhart seventy- six years ago it was still very relevant to the current conditions . Seriring the increasing desire of customers to the superior quality plus many options , manufacturers are competing to improve their performance in order to win the competition by improving quality and productivity . In recent decades some performance improvement methodology used by the manufacturer to be able to continue to be effective and efficient in the process . Six Sigma is a methodology that proved to be one of them helps the manufacturer to be able to achieve that goal . Roots of Six Sigma process improvement approach that encourages through statis

Data and Statistical Analysis Concept for Six Sigma

Data is a major component in terms of research and development. So also with the improvement for six sigma analysis. To present the current conditions, and the results achieved, the most precise and reliable data is to present the data in the form of statistical data, pictures and graphics. So does that have anything to do with the production / manufacturing, a lot of variables that can be used for data analysis purposes. Improvement in manufacturing activity, the first thing asked is sought and data, both types of data and data sources. Statistical data based on sources and how to obtain it can be described as below.