Six Sigma is a data-driven process improvement methodology that uses analytical tools and a structured approach (DMAIC) to reduce variation, eliminate errors, and increase efficiency.
Green Belt training represents the intermediate level of Six Sigma certification and is intended for professionals who want to lead process improvement projects within their organizations. During the training, participants gain a deeper understanding of the DMAIC methodology, learn how to define and structure projects, use advanced tools for data analysis, discover the causes of problems and implement sustainable solutions. The focus is on the practical application of knowledge through variation analysis, identification of bottlenecks and the use of statistical and visual performance measurement tools.
The training is intended for experts, team leaders, managers and everyone involved in process improvement projects. Prior knowledge of Six Sigma fundamentals (Yellow Belt level or equivalent experience) is recommended.
Training duration – 2 days (360 minutes) The training is divided into three parts.
01 Basics of Six Sigma methodology and project definition
An overview of the DMAIC methodology and the role of the Green Belt
Defining projects, business problems and goals
CTQ Identification and User Requirements Analysis (VOC)
Project Charter and team structure
02 Measurement and process analysis
Types of data and basic statistics
Process mapping and data collection
Histogram, Pareto diagram, scatter diagram
Analysis of variations and identification of causes
03 Improvement, control and application of what has been learned
Generation and selection of solutions (Affinity, Prioritization Matrix)
FMEA analysis and control plan
Implementation and monitoring of improvements
Work on a case study and evaluation of the results
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