Six Sigma: Analyze, Improve, Control

Martin Grunow, Holly Ott, TUMx

Learn how to statistically analyse process data to determine the root cause for process problems, to propose solutions, and to implement quality management tools, such as 8D and the 5 Whys, as well as the concept of Design for Six Sigma (DFSS).

Learn how to statistically analyze data with the Six Sigma methodology using inferential statistical techniques to determine confidence intervals and to test hypotheses based on sample data. You will also review cause and effect techniques for root cause analysis.

You will learn how to perform correlation and regression analyses in order to confirm the root cause and understand how to improve your process and plan designed experiments.

You will learn how to implement statistical process control using control charts and quality management tools, including the 8 Disciplines and Failure Modes and Effects Analysis to reduce risk and manage process deviations.

To complement the lectures, learners are provided with interactive exercises, which allow learners to see the statistics "in action." Learners then master the statistical concepts by completing practice problems. These are then reinforced using interactive case-studies, which illustrate the application of the statistics in quality improvement situations.

Upon successful completion of this program, learners will earn the TUM Lean and Six Sigma Yellow Belt certification, confirming mastery of Lean Six Sigma fundamentals to a Yellow Belt level. The material is based on the American Society of Quality (www.asq.org) Body of Knowledge up to a Green Belt Level. The Professional Certificate is designed as preparation for a Lean Six Sigma Green Belt exam.

What will you learn

  • To identify process problems and perform a root cause analysis using cause and effect diagrams and then performing a regression analysis.
  • To analyse data using inferential statistical techniques, including confidence intervals and hypothesis testing.
  • To test and quantitatively assess the impact of different improvement options using a design of experiment.
  • To test for the significance of effects using an analysis of variacne.
  • To implement control mechanisms for long-term monitoring using control charts for both quantitative and qualitative measurements.
  • To apply the Six Sigma methodology for the Analyse, Improve and Control phases in your work or research.

Dates:
  • 1 July 2019
Course properties:
  • Free:
  • Paid:
  • Certificate:
  • MOOC:
  • Video:
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  • Language: English Gb

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