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Technical University of Munich

Six Sigma Part 2: Analyze, Improve, Control

via edX

4.760 ratings at edX

Overview

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

What you'll learn

  • To identify process problems and perform a root cause analysis using cause and effect diagrams and regression analysis.
  • To analyze data using inferential statistical techniques, including confidence intervals and hypothesis testing.
  • To test and quantitatively assess the impact of different improvement options using the design of an experiment.
  • To test for the significance of effects using an Analysis of Variance.
  • 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 Analyze, Improve and Control phases in your work or research.

Skills you'll practise

StatisticsLean Six SigmaDesign For Six SigmaQuality ImprovementLean Six Sigma Green BeltStatistical Process ControlsQuality ManagementEight Disciplines Problem Solving (8D)Six Sigma Yellow BeltCase StudySix Sigma Green BeltLean ManufacturingSix Sigma MethodologyConfidence IntervalsControl Chart

Advantages and disadvantages

Advantages

  • University courses you can audit for free, with lectures, readings and practice quizzes.
  • A verified certificate from the university if you pay for it.
  • From Technical University of Munich, a well-regarded name.
  • Rated 4.7 out of 5 by 60 learners.
  • Self-paced: start any time.

Disadvantages

  • Graded assignments and the certificate need the paid track.
  • Audit access can expire a few weeks after the course ends.
  • Learning is free, but the certificate costs money.
  • Some parts (graded work, certificate) are paid.

Some points apply to every course of this kind; see how we rank.

Free to audit

  • Free: Choose "Audit this course" when you enrol: lectures, readings and practice are free.
  • Paid: Graded assignments and the verified certificate (Certificate: $199). Audit access may end after the course closes.

Before you start

This course reviews basic statistics used in Six Sigma and quality management, applying them to quality problems and methods. Therefore, basic math skills are necessary.

Taught by

  • Martin GrunowProfessor of Production and Supply Chain Management
  • Holly OttProfessor Production Management Rosenheim Technical University of Applied Sciences Senior Lecturer

Technical University of Munich is in Tier 2: excellent universities and the companies that build the technology of our institution ranking (86/100).

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