Lean Six Sigma Green Belt

Issued on 17 Feb 2026 by

Excellence Finland

The Lean Six Sigma Green Belt certification is awarded to individuals who have completed Excellence Finland's Green Belt training and demonstrated proficiency in the fundamentals and application of Lean, Lean Six Sigma and Minitab methods. After the training, the participant understands the DMAIC model (Define–Measure–Analyze–Improve–Control) as a tool for process improvement and can identify and solve problems in the organization’s processes. People with Excellence Finland's Green Belt certification are able to analyze data, manage process performance, and control errors using statistical process control methods. The transfer of theoretical knowledge into practice has been ensured by completing a real work-related project that delivers concrete and measurable improvements in the organization. The training content meets ASQ's Six Sigma Body of Knowledge (DMAIC) requirements (GB level).

#ContinuousImprovement #GreenBelt #LeanSixSigma

Issuer

Excellence Finland

info@excellencefinland.fi

Me Excellence Finlandilla uskomme, että kestävä laatu ja kilpailukyky syntyvät jatkuvasta oppimisesta ja systemaattisesta kehittämisestä. Olemme Suomen suurin laadun ja kehittämisen asiantuntijoiden yhteisö, jossa tavoitteelliset organisaatiot ja niiden ammattilaiset voivat kehittyä ja oppia toisiltaan, saavat ajankohtaista tietoa, käytännön työkaluja sekä verkoston, joka tukee kasvua ja uudistumista.

Excellence Finlandin Open Badge -osaamismerkit ovat digitaalinen tapa asiantuntijoille ja ammattilaisille tunnistaa ja osoittaa osaamistaan, saavutuksiaan ja oppimista.

Lisätiedot: info@excellencefinland.fi

Criteria

The Excellence Finland Lean Six Sigma Green Belt certification is awarded to individuals who have participated in a nine-day training program, successfully completed a Belt project, and demonstrated proficiency in the use of Minitab. The training covers following topics:

Basics of Lean, Lean Six Sigma and Minitab
Six Sigma statistics, including measurement system analysis, process capability, and X-variable limiting
Observation-based analysis and hypothesis testing fundamentals for normal and non-normal data
Process measurement, regression analysis, and advanced modeling techniques
Design of Experiments(DoE)
Process capability control, lean control, and error management
Statistical process control