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 statistics and analysis of measurement data. Six Sigma aims to produce no more than 3.4 defects per 1 million opportunities in the production process .
Six Sigma is a project approach – in other words , when opportunities for improvement were identified , then formed a team with the resources and work plan to execute . Execution of Six Sigma projects follow a very strict pattern ( or in project management called a milestone ) , namely : Define, Measure , Analyze, Improve , Control . At each phase of the DMAIC roadmap is a set of special tools used , and most of these tools are related to the principles and applications of statistics .
According to statistics Deming is learning and understanding the process and the variation in the population , concluded the interaction between variables , understanding the operational definition of the data to be able to communicate effectively , and ultimately , take action to reduce variation in the process or the population . In short , statistics are tools used to transform data into information , information we got from the knowledge , and of knowledge we can determine the actions that we do .
Purpose we studied the statistics are not made us a statistician but we have enough knowledge so that we are able to use statistical methods which are appropriate in each phase of DMAIC . So it will no longer idiom ” When the tools we have are martyred , then all problems look as a nail ” applies to us . That statistic in six sigma .