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Arthur’s 4-50 Rule – The Secret to Breakthrough Improvement

We’re all familiar with Pareto’s rule: 20% of causes produce 80% of the results. But are you familiar with Arthur’s 4-50 rule? Typically, 4% of any process – one step out of 35 – is the cause of more than 50% of waste, rework and lost profit.



“Hi, I’m Jay Arthur, author of “Lean Six Sigma for Hospitals” and QI Macros [software].

“Now I’ve probably talked to you about this before, but we’re all familiar with Pareto’s rule that 20% of what you do produces 80% of the mistakes, errors, waste, rework, lost profit. 20% of your customers produce 80% of your revenue.

Posted by Jay Arthur in Improvement Insights, Lean, QI Macros, Six Sigma, Statistics.

1/15/21 QI Macros webinar

Over 100 people signed up for this webinar, with Jay Arthur demonstrating some of the software’s most frequently used tools and answering questions asked by attendees.

Some attendees were familiar with the software and already use it, some had only begun to use it; all were interested in learning new ways that QI Macros can help them with their Agile Lean Six Sigma and Quality Improvement efforts. (You can hear him answering questions and comments typed in by webinar attendees.)



If you saw a feature demonstrated in the webinar that might have been added to QI Macros after the version you’re using (for instance, the Templates Wizard, the Fixed Limit indicator or the automated Process Change Wizard), you may need to purchase an upgrade to bring your QI Macros to the current version.

Posted by Jay Arthur in Data Mining, Excel, QI Macros, Webinar.

2021 New Year’s Resolutions for Quality

Here’s three New Year’s Resolutions to accelerate your quality improvements: 1) Raw Data Diet, 2) Quality Tools and 3) Worst First. Here’s why these will change your future and your company’s:



“Hi, I’m Jay Arthur. It is the New Year and so it’s time for some New Year’s resolutions. Here’s some resolutions I’d like you to consider.

“First, go on a raw data diet. That means you need to know everything about each individual defect, mistake and error, and then you can summarize that. If you start from summarized data you don’t know where the raw data is, and so most of the time you can’t actually figure out what to fix without the raw data.

Posted by Jay Arthur in Improvement Insights, Lean, Six Sigma.

Snowy Rides and Short Run Charts


cyclist-snowy-forest 560x310.jpg
I had just finished clearing the snow from my front walk and come inside when I heard the text alert tone from my computer. After kicking off my shoes and hanging up my coat, I checked my phone and found a text from a past client.

“Need help. Would you be available some time for a video call? – Andrew Joseph”

I sent him a message that I was available now if he’d like, and a few minutes later I was sitting in front of my computer with a steeping mug of Earl Grey tea connecting with Andrew.

“Hey there! ” I greeted him.

Posted by Jay Arthur in QI Macros Monthly Newsletters.

Six Sigma Dogma

When I started in quality improvement, everyone preached Total Quality Management (TQM). Before that it was quality circles. I’d like you to consider that the gospel of Six Sigma is holding back progress. Here’s why:



“Hi, I’m Jay Arthur, author of “Lean Six Sigma Demystified” and the QI Macros [software].

“The other day I was [presenting] a webinar for one of the ASQ sections; I’ve been doing Agile Lean Six Sigma webinars for the Agile sections that want something to do during this pandemic. One of the guys said, “Well, you’re sort of telling me that that we don’t need Green Belts and Black Belts to do a project.

Posted by Jay Arthur in Agile Lean Six Sigma, Improvement Insights, Lean, Six Sigma.

Riding the Storm Out – Lessons from the Last Century

My parents and grandparents lived through the early part of the last century – two world wars, Spanish flu, and the Great Depression. My wife’s grandmother caught the Spanish Flu and all of her hair fell out. Maybe we haven’t had the adversity to prepare us for this pandemic, but maybe we can learn from parents and grandparents how to cope.



Riding the Storm Out – REO Speedwagon

“Hi, this is Jay Arthur, author of “Lean Six Sigma Demystified” and the QI Macros [software].

“On December 7th, 1941, my 17 year old mother was driving back from Knoxville, Tennessee back to Dayton, Ohio.

Posted by Jay Arthur in Improvement Insights.

Why Big Data is Bad for Small Business

There’s a lot of hype about Big Data, but approximately three-quarters of the money spent had no return on investment. There’s big profits in small data. Here’s what to do differently.



“Hi, this is Jay Arthur, author of “Lean Six Sigma Demystified” and the QI Macros [software].

“Big Data is actually bad for small business. Now, there was a lot of hype around Big Data, but it kind of crested about 2011-2012 and it’s falling down now because people are discovering that Big Data doesn’t always give you the answers you want. What you need [is] small data, and there’s big profits in small data.

Posted by Jay Arthur in Data Mining, Improvement Insights.

Deming’s 14 Points Were Created for 20th Century Quality

Most quality consultants still quote Deming’s 14 points, but the U.S. economy has shifted. Corporate CEOs are traded like running backs in the NFL. Time for a 21st Century approach to quality that factors in the new reality.



https://www.qimacros.com/pdf/Agile-LSS-Mini-Manifesto.pdf

“Hi, I’m Jay Arthur, author of “Lean Six Sigma for Hospitals” and QI Macros [software].

“You know, in the Quality world, we still bring up Deming’s 14 points quite a bit. That’s kind of 20th Century Quality. Now, not that those ideas are extinct or anything, but a lot of it was about that time period.

“When I was working at the phone company we didn’t change CEOs but once every 10, 20, 30 years, right?

Posted by Jay Arthur in Improvement Insights, QI Macros, Six Sigma.

12/10/20 QI Macros Webinar

Over 50 people signed up for this webinar, with Jay Arthur demonstrating how to use some of the useful features of QI Macros, as well as some of the new features introduced in recent releases of the software.

Some attendees were familiar with the software and already use it, some had only begun to use it; all were interested in learning new ways that QI Macros can help them with their Agile Lean Six Sigma and Quality Improvement efforts. (You can hear him answering questions and comments typed in by webinar attendees.)



If you saw a feature demonstrated in the webinar that might have been added to QI Macros after the version you’re using (for instance, the Templates Wizard, the Fixed Limit indicator or the automated Process Change Wizard), you may need to purchase an upgrade to bring your QI Macros to the current version.

Posted by Jay Arthur in Data Mining, Excel, QI Macros, Webinar.

Take DM Out Of DMAIC

Most companies are drowning in data, so you don’t need to Define and Measure anything new. Take DM out of DMAIC to accelerate results. Here’s why:



“Hi, I’m Jay Arthur, author of “Lean Six Sigma for Hospitals” and QI Macros [software].

“In the whole Six Sigma world, the DMAIC process, one of the things I’ve noticed is every company I’ve ever gone to… ever… has so much data they’re just… they’re drowning in their own data, and they don’t know how to analyze what they’ve got. And yet in DMAIC, we teach people to Define and then figure out something to Measure.

Posted by Jay Arthur in Improvement Insights.