Dec 30 2023
Greatest Hits of 2023
This blog’s greatest hits of 2023:
- Nissan’s Quick Response Quality Control (QRQC)
- Runners, Repeaters, and Strangers among Components
- Where do “Value Stream Maps” come from?
- The Fox Knows Many Things, But The Hedgehog Knows One Big Thing
- Deming’s Point 4 of 14 – End the practice of awarding business on the basis of a price tag
- Does Amazon Use Lean, Six Sigma, or Lean Six Sigma?
- Does Toyota Use SPC?
- Deming’s Point 3 of 14 – Cease dependence on inspection to achieve quality…
- Deming’s Point 5 of 14 – Improve Constantly and Forever the System of Production and Service
- Deming’s Point 11.b of 14 – Deming versus Drucker
- Metrics in Lean – Chart junk in performance boards and presentations
- Why “Smart” part numbers should be replaced with keys and property lists
- Wrong things ChatGPT says about me
- Project Manager Versus Chief Engineer: What’s The Difference?
- Deming’s point 1 of 14: Create constancy of purpose…
- Why 5S fails
- Quality in a Manufacturing System
- Why we Need a Quality Department
- Orbit charts, and why you should use them
- What is an A3?
#greatesthitsof2023, #quality, #VSM, #ValueStreamMap, #deming, #toyota
Mar 5 2024
Process Control and Gaussians
The statistical quality profession has a love/hate relationship with the Gaussian distribution. In SPC, it treats it like an embarrassing spouse. It uses the Gaussian distribution as the basis for all its control limits while claiming it doesn’t matter. In 2024, what role, if any, should this distribution play in the setting of action limits for quality characteristics?
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By Michel Baudin • Data science, Technology • 1 • Tags: Control Charts, Control Limits, FMEA, gaussian, Normal distribution, pFMEA, process control, Quality, SPC