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Quality Analytics Using Minitab

سرفصل های دوره

The Minitab statistics package can be a valuable tool in your analytics toolkit. In this course, professor and certified Lean Six Sigma Master Black Belt trainer Richard Chua uses instruction and hands-on challenges to show you how to make the most use of Minitab. Learn how to conduct Measurement System Analysis (also known as Gage R&R) to evaluate the validity of measurement systems. Go over how to use Attribute Agreement Analysis to ensure that appraisals and inspection results are valid, with no false positives, false negatives, or wrong categorization. Find out how to conduct a Process Capability study and use Statistical Process Control charts (SPC) to establish and monitor performance. Go over SPC charts for attributes and for variables, as well as acceptance sampling.


01 - Introduction
  • 01 - Make quality analytics easier
  • 02 - What you should know

  • 02 - 1. Measurement System Analysis (MSA)
  • 01 - Create a Gage R&R worksheet in Minitab
  • 02 - Analyze a Gage R&R using Minitab
  • 03 - Create an Attribute Agreement Analysis worksheet in Minitab
  • 04 - Attribute Agreement Analysis using Minitab
  • 05 - Challenge Conduct MSA
  • 06 - Solution Conduct MSA

  • 03 - 2. Statistical Process Control (SPC)
  • 01 - SPC variable charts for individuals
  • 02 - SPC variable charts for subgroups
  • 03 - SPC attributes charts using Minitab
  • 04 - Using SPC to contrast pre- and post-change
  • 05 - Challenge SPC challenge
  • 06 - Solution SPC challenge

  • 04 - 3. Process Capability
  • 01 - Normal process capability using Minitab
  • 02 - Capability analysis between and within subgroups
  • 03 - Non-normal process capability using Minitab
  • 04 - Binomial process capability using Minitab
  • 05 - Challenge Process capability
  • 06 - Solution Process capability

  • 05 - 4. Acceptance Sampling
  • 01 - Acceptance sampling by attributes using Minitab
  • 02 - Acceptance sampling by variables using Minitab
  • 03 - Challenge Acceptance sampling
  • 04 - Solution Acceptance sampling

  • 06 - 5. Design of Experiments
  • 01 - Design of experiments Create screening design
  • 02 - Design of experiments Analyze screening design
  • 03 - Design of experiments Create a factorial design
  • 04 - Design of experiments Analyze factorial design
  • 05 - Design of experiments Curvature in factorial experiments
  • 06 - Design of experiments Create response surface design
  • 07 - Design of experiments Analyze response surface design
  • 08 - Challenge DOE
  • 09 - Solution DOE, part A
  • 10 - Solution DOE, part B

  • 07 - Conclusion
  • 01 - Further resources for using Minitab
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