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Six Sigma: Reduce Defects and Variation with DMAIC

Six Sigma is a data-driven method for making processes consistent. Its goal is near-perfection: no more than 3.4 defects per million opportunities. You don't need to reach that number to benefit — the discipline of measuring and reducing variation pays off quickly.

By DOOfy3 min read

What is Six Sigma?

Six Sigma, developed at Motorola and made famous by GE, uses statistics to find and remove the causes of defects and variation. “Sigma” is a measure of variation; a six-sigma process is extremely consistent.

Projects are led by trained practitioners — Yellow, Green and Black Belts — and follow a structured method called DMAIC.

The DMAIC method

  • Define — the problem, the customer and the goal (e.g. cut billing errors by 50%).
  • Measure — collect data on the current process and its defect rate.
  • Analyse — find the root causes using data, not opinions.
  • Improve — test and implement solutions that remove those causes.
  • Control — standardise and monitor so the gains stay.

Six Sigma example

A distributor had 6% of invoices disputed. Measurement showed 70% of disputes came from manual price entry for three customer groups. Automating price lookup and adding a check at dispatch cut disputes to under 1%.

Common mistakes to avoid

  • Starting projects without reliable data.
  • Choosing problems too big to finish in 3–6 months.
  • Skipping the Control phase, so the process drifts back.

How DOOfy helps

Six Sigma starts with good measurement. AIMOS One keeps process data — errors, returns, delays, complaints — in one place over time, which makes the Measure and Control phases far easier and shows when a process starts drifting.

Frequently asked questions

What does DMAIC stand for?

Define, Measure, Analyse, Improve and Control — the five phases of a Six Sigma improvement project.

What is the difference between Lean and Six Sigma?

Lean removes waste and speeds up flow; Six Sigma reduces variation and defects. Lean Six Sigma combines both.