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Jan 12 2024

Gaussian (Normal) Distributions In Science

The Gaussian – also known as “Normal” – distribution is used and abused in many domains. In Manufacturing, this includes quality assurance, supply-chain management,  and human resources. This is the first in a series of posts aimed at understanding the range of applicability of this tool. 

Googling uses of the normal distribution produces nearly 1 million results. Yet the top ones all ignore science, even when you narrow the query to physics, and this post attempts to remedy this. For example, the Gaussian distribution plays a central role in modeling Brownian motion, diffusion processes, heat transfer by conduction, the measurement of star positions, and the theory of gases.

These matter not just because the models are useful but also because they anchor this abstraction in physical phenomena that we can experience with no more equipment than is used in a Middle School science project. This post will not help you solve a shop floor problem by the end of the day, but I hope you will find it nonetheless enlightening. 

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By Michel Baudin • Laws of nature • 4 • Tags: Brownian motion, Diffusion, gaussian, Heat transfer, Normal distribution, Theory of Gases

StadiumConcertBlog

Dec 30 2023

Greatest Hits of 2023

This blog’s greatest hits of 2023:

  1. Nissan’s Quick Response Quality Control (QRQC)
  2. Runners, Repeaters, and Strangers among Components
  3. Where do “Value Stream Maps” come from?
  4. The Fox Knows Many Things, But The Hedgehog Knows One Big Thing
  5. Deming’s Point 4 of 14 – End the practice of awarding business on the basis of a price tag
  6. Does Amazon Use Lean, Six Sigma, or Lean Six Sigma?
  7. Does Toyota Use SPC?
  8. Deming’s Point 3 of 14 – Cease dependence on inspection to achieve quality…
  9. Deming’s Point 5 of 14 – Improve Constantly and Forever the System of Production and Service
  10. Deming’s Point 11.b of 14 – Deming versus Drucker
  11. Metrics in Lean – Chart junk in performance boards and presentations
  12. Why “Smart” part numbers should be replaced with keys and property lists
  13. Wrong things ChatGPT says about me
  14. Project Manager Versus Chief Engineer: What’s The Difference?
  15. Deming’s point 1 of 14: Create constancy of purpose…
  16. Why 5S fails
  17. Quality in a Manufacturing System
  18. Why we Need a Quality Department
  19. Orbit charts, and why you should use them
  20. What is an A3?

#greatesthitsof2023, #quality, #VSM, #ValueStreamMap, #deming, #toyota

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By Michel Baudin • Uncategorized • 1 • Tags: Deming, Greatest hits of 2023, Quality, Toyota, Value Stream Map, VSM

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Nov 29 2023

Tolerances

Online forums do not often discuss quality fundamentals like characteristics and tolerances. You find arguments about process capability, but the requirements for process capability are taken as given. Tolerances on characteristics are objectives that production is expected to meet, and deserve an exploration of what they mean and how they are set.

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By Michel Baudin • Technology • 6 • Tags: Attributes, Characteristics, Measured Variables, Quality, Tolerances

FeaturedImageDim-Tol-Capa

Nov 13 2023

Process Capability Indices

Within the quality profession, a capable process is one with a high C_{p_k}. In the field, it is not quite so simple. My colleague Joerg Muenzing recently shared concerns about the process capability indices:

“Many manufacturers that I know struggle with incapable processes. Intellectually, people understand the concept of capability, but are unable to effectively apply it to an entire process. A single-figure measure for the entire chain would be ideal to better understand and manage it. The challenge is that the chain consists of processes with measurable characteristics, like thickness, substitute characteristics, like leak current to infer dryness, and also visual inspection results like blemishes or scratches.

They know that C_{p_k} < 1 is bad, and scrap shrinks the bottom line, but not much more. At the same time, customers like large Automotive OEMs demand from their suppliers a C_{p_k} > 1.33 for manual and “uncritical” characteristics, and C_{p_k} >1.66 or even >2.00 for critical characteristics.

What would be useful without being ‘too wrong’?”

Let’s take a closer look.

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By Michel Baudin • Data science • 7 • Tags: capability index, Cp, Cpk, Process capability, Quality

Oct 27 2023

Is SPC Still Relevant? | D.C. Fair & S. Hindle | Quality Digest

“Today’s manufacturing systems have become more automated, data-driven, and sophisticated than ever before. Visit any modern shop floor and you’ll find a plethora of IT systems, HMIs, PLC data streams, machine controllers, engineering support, and other digital initiatives, all vying to improve manufacturing quality and efficiencies.

That begs these questions: With all this technology, is statistical process control (SPC) still relevant? Is SPC even needed anymore? Some believe manufacturing sophistication trumps SPC technologies that were invented 100 years ago. But is that true? We the authors believe that SPC is indeed relevant today and can be a vitally important aid to manufacturing.”

Source: QualityDigest

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By Michel Baudin • Press clippings • 2 • Tags: SPC, Statistical Process Control

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Sep 23 2023

Orbit Charts, Revisited

Data visualization is not just the art of presenting data to an audience. Upstream from this, you use visualizations in data cleaning to identify defective points, and in exploratory analysis, to identify patterns of interest. Then, you validate these patterns with a more formal analysis. Once confident that you have findings of value to communicate, you worry about making a compelling presentation.

Nick Desbarats and I had a long exchange on LinkedIn prompted by his article Connected Scatterplots Make Me Feel Dumb in Nightingale, the Data Visualization Society journal, on 8/29/2023. What he called Connected Scatterplot is what I call orbit charts, and I have found them helpful, particularly in analysis.

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By Michel Baudin • Data science • 3 • Tags: data science, Orbit chart, scatterplot, Visualization

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