Six Sigma Yellow Belt

Persons with a graduated Six Sigma Yellow Belt Training will receive an introduction to the Six Sigma methodology. Six Sigma Yellow Belts can perform support activities in DMAIC processes: Collecting data and carrying out appropriate data visualizations. Six Sigma Yellow Belts can work as an expert (engineer, physicist, etc.) on specific topics without delay. Six Sigma Yellow Belt requires an understanding of the Six Sigma philosophy, not an in-depth knowledge of methods.

Six Sigma Yellow Belts are familiar with the DMAIC cycle and specific tools for data collection and visualization. You can perform a process analysis, e. g. by creating a professional process map.Six Sigma Yellow Belts should also be trained for reasons of acceptance. This avoids internal rejection due to lack of information and avoids difficulties in starting up. Typical training levels for Six Sigma Yellow Belts are: Plant Manager, Laboratory Manager and Master.

Training for Six Sigma Yellow Belts lasts 2 days.

ImportantThis event does not currently have an available date. Please contact us if you are interested.

  • collection, documentation and visualization of data
  • data structures and graphical methods
  • basics in dealing with suitable software
  • sampling strategy
  • process map
  • cause-effect matrix
  • Pareto-Chart
  • basics of statistical terms: averages, dispersion
  • confidence interval, basics of hypothesis testing, significance, p-value
  • Scope of services

  • 2 Days
  • Highly competent Six Sigma Trainer (Master Black Belt with PhD in natural sciences)
  • Examples and data sets from practice in quality, technology, science, production, manufacturing for each individual tool
  • Detailed training materials inprinted form
  • Photo documentation of the presented flipcharts & workshops
  • Group of participants

  • Engineers
  • Production Masters
  • Quality Assurance Employees
  • Laboratory Assistants
  • Academics
  • Requirements

    The will to learn and apply something new to solve problems in companies and research institutions.

    Participant fee
    The participation fee is 1.150,00€ (net)