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Six Sigma aims to reduce process variability and improve quality by using data-driven decision-making methods. This methodology is particularly common in manufacturing and service industries, often leading to cost reductions and efficiency gains.
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Six Sigma is a data-driven improvement approach intended to reduce process variation and defects systematically.
Six Sigma emerged at Motorola in the 1980s; Bill Smith and Mikel Harry shaped the quality initiative. General Electric spread it in the 1990s as an enterprise improvement program using the DMAIC cycle.
Define the problem and measurable requirements, measure process performance, analyze causes, improve the flow, and control the new stability. Data replace guesses about the most important cause.
Variation shows how much process results differ from one another.
The cycle structures improvement as Define, Measure, Analyze, Improve, and Control.
A defect is a deviation from a stated requirement.
Six Sigma gives improvement work a measurable structure. It helps prioritize causes and stabilize process quality beyond isolated optimizations.
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