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Posts tagged "Statistics"
In my 30+ years in quality improvement, I finally got to use basic statistics to save millions of dollars. And it was easy. Here’s how:
“Hi, I’m Jay Arthur, author of “Lean Six Sigma Demystified” and QI Macros [software].
“I recently had a chance to help a food company that had frozen meats of various kinds – you know, poultry and so on – and they’d had a chemical spill. Well, what the USDA wanted them to do was prove that it had not affected their food and so somehow I got called in to help with that.
Continue Reading "My First Statistics Project"
Posted by Jay Arthur in Improvement Insights.
Joseph Juran felt that the American Society for Quality focused too heavily on statistics and not enough on quality as a management discipline.
“Hi, I’m Jay Arthur, author of “Lean Six Sigma Demystified” and QI Macros [software].
“Again, I was looking through my old Quality Progress [issues] about Juran, and in here he said he was very dissatisfied with the statistical orientation of the American Society for Quality. He thought there was too much emphasis on that. He did think one of the biggest barriers to anything is just plain old resistance to change, and an interesting thing in this article [was that] people thought that the whole part of Total Quality Management… they thought that Deming was really “Mr.
Continue Reading "Juran vs ASQ Focus on Statistics"
Posted by Jay Arthur in Jay Arthur Blog.
Shunryū Suzuki said there are four kinds of horses: excellent, good, poor and bad horses. When it comes to statistics, the bad horse may be the best horse. Here’s why:
“Hi, I’m Jay Arthur, author of “Lean Six Sigma Demystified” and QI Macros [software].
“Shunryū Suzuki said there are four kinds of horses: Excellent ones, good ones, poor ones and bad ones. Now everybody wants to be the excellent horse or the good horse, but nobody wants to be the dead-last, bad horse. He suggests that the bad horse has to work extra hard to learn how to run, to learn how to do things, right?
Continue Reading "What Kind of Statistical Horse Are You?"
Posted by Jay Arthur in Improvement Insights, Jay Arthur Blog.
SPC software companies keep trying to gain some edge by tweaking the formulas for various statistics, but is the quest for the next decimal place of precision useful? If you’re trying to send a rocket to Mars? Absolutely. If you’re trying to tune up a business process, not really. Here’s why.
“Hi, I’m Jay Arthur, author of “Lean Six Sigma Demystified” and QI Macros [software]. I’m going to talk to you about what I call The Next Decimal Place.
“Because I’ve been in the software business, [I’ve seen] people and try and change formulas. Let’s say it’s Cp and Cpk.
Continue Reading "The Next Decimal Place"
Posted by Jay Arthur in Improvement Insights, Statistics.
Since 90% of deaths are among those over 60, perhaps the best countermeasure is to require those of us over 60 (me for example) to stay home. Most of us are retired anyway. Let others go back to work.
Approximately 51% of Colorado hospitalizations involve people 60-80+, 75% of people over 50. Another reason to ask seniors like myself to stay at home even as the economy reopens. This will help reduce the load on hospitals.
Continue Reading "Colorado Deaths by Age Group"
Posted by Jay Arthur in QI Macros, Six Sigma.
There are COVID-19 hot spots and cold spots. How do we keep the cold spots open and detect and quarantine warming spots? Maybe statistical process control can help.
“Hi, I’m Jay Arthur, author of “Lean Six Sigma for Hospitals” and QI Macros [software].
“Back in the mid 1800s there was a cholera outbreak in London, and John Snow (not of Game of Thrones, but Dr. John Snow) said, “I think there’s a pattern here.” He went out and figured out that everybody who had cholera was getting water from the Broad Street pump. Back then, there was no indoor running water so you had to take your pail, go out to the pump and get your water for your home or your business or your restaurant.
Continue Reading "Cholera and COVID-19 Hot Spot Detection and Quarantine"
Posted by Jay Arthur in Improvement Insights, Six Sigma.
One of our QI Macros users offered to share his dashboard of paramedic response during the Seattle area response to COVID-19. His team transported the first COVID patient in America. As you can see, turnaround times (TAT) at the hospital averaged 30 minutes and temperatures spiked in transported patients.
Continue Reading "COVID-19 Paramedic Dashboard 2020"
Posted by Jay Arthur in Healthcare, Jay Arthur Blog, Lean, QI Macros.
Coronavirus means that we can’t wait weeks for training and months for improvements. Healthcare has to embrace Agile Lean Six Sigma to handle an infection that could overwhelm existing care facilities. (Hint: This has nothing to do with doctors and nurses, but everything to do with the patient.) Here’s how to do it:
“Hi, I’m Jay Arthur, author of “Lean Six Sigma for Hospitals” and the QI Macros [software]. You know, I think we’re at this place in time where we can no longer wait two to four weeks for training and four to six to twelve months for projects to get done.
Continue Reading "Agile Lean Healthcare Now"
Posted by Jay Arthur in Agile Lean Six Sigma, Healthcare, Improvement Insights, Lean, Six Sigma.
Everyone thinks I’m a statistician by trade, but nothing could be further from the truth. Here’s my journey.
“Hi, this is Jay Arthur, author of “Lean Six Sigma Demystified” and the QI Macros [software]. I’m here in Maui Kaanapali Villas in Maui.
“One of the things that I want you to think about is because I wrote the QI Macros, everybody thinks I’m a statistician or something, but… the truth is a little bit further from that.
“Suzuki the Zen master had a story of four horses: One ran easily, one you had to flog it a little bit, one he had to flog a little more, and the fourth one you had to flog a lot to get it to move.
Continue Reading "Jay is the Fourth Horse of Statistics"
Posted by Jay Arthur in Improvement Insights, QI Macros, Statistics.
Statisticians say “correlation does not equal causation,” but what if we can prove cause and effect using new tools? The Book of Why, by Judea Pearl explains how this new science of cause and effect has shifted statistics over the last 30 years.
Continue Reading "The Book of Why?"
Posted by Jay Arthur in Improvement Insights, Statistics.
