Handling Statistical Variation in Six Sigma
Subject: Management Paper 1
Six-Sigma provides a methodical, disciplined, quantitative approach to continuous
process improvement. Through applying statistical thinking, Six Sigma uncovers the
character of business variation and its effect on waste, operating cost, cycle time,
profitability, and customer satisfaction.
The term “six sigma” is defined as a statistical measure of quality, specifically, A
level of three .4 defects per million or 99.99966% high-quality. to put into practice the Six
Sigma management philosophy and achieve this high level of quality, an organization
implements the Six Sigma methodology. the basic objective of the Six Sigma methodology is
that the implementation of a measurement-based strategy that focuses on process
improvement and variation reduction through the appliance of Six Sigma improvement
projects. Projects are selected that support the company's overall quality improvement goals.
A Six Sigma project begins with the proper metrics. Six Sigma produces a flood of
data about your process. These measurements are critical to your success. If you are doing
not measure it, you can't manage it. Through those measurements and each one among that
data, you begin to understand your process and develop methodologies to identify and
implement the right solutions to reinforce your process. Six Sigma’s clear strength could also
be a data-driven analysis and decision-making process—not someone's opinion or gut
feeling.
Metric lie at the centre of Six Sigma. Critical measures that are necessary to gauge the
success of the project are identified and determined. The initial capability and stability of the
project is set so on determine a statistical baseline. Valid and reliable metrics monitor the
