Episode Details

If something is "good" is that good enough? Who decides? In this episode, Bill and Andrew discuss how people define "good," what interchangeability has to do with morale, and the problem with a "merit-based" culture. Bonus: Learn how Americans became the first to use the French idea of interchangeable parts in manufacturing.

Note: this episode was previously published as Part 5 in the Awaken Your Inner Deming series.

TRANSCRIPT

0:00:02.3 Andrew Stotz: My name is Andrew Stotz, and I'll be your host as we continue our journey into the teachings of Dr. W. Edwards Deming. Today, I'm continuing my discussion with Bill Bellows, who has spent 30 years helping people apply Dr. Deming's ideas to become aware of how their thinking is holding them back from their biggest opportunities. The topic for today is, Deming Distinctions: Beyond Looking Good. Bill, take it away.

0:00:30.4 Bill Bellows: Funny you mentioned that. You remind me that I've been at this for over 30 years, and coming up in July, I'll be celebrating 40 years of marriage. Like 30 years, 40, where do these numbers come from?

0:00:44.5 AS: Okay. Yeah. Who defines quality in a marriage, Bill?

0:00:47.0 BB: Alright.

0:00:50.8 AS: Okay, we won't go there. Take us, take it away.

0:00:52.2 BB: We won't go there. So we are gonna talk about who defines quality, and to get into "beyond looking good." As I shared with you, I've listened to each of the podcasts a few times. And before we get into who defines quality, I just wanna provide clarification on some of the things that came up in the first five episodes. And so, one, and I think these are kind of in order, but if they're not in order, okay, well, I made reference to black-and-white thinking versus shades-of-gray thinking. And I called black-and-white thinking - black and white data - category data, and the word I was searching for that just wasn't coming out was attribute data. So for those who are keeping score, attribute data is probably the most relevant statistician term in that regard.

0:01:44.9 BB: Attribute data versus variable data. And what I've made reference to, and we'll talk more in a future session, is looking at things in terms of categories. And categories are black and white, or it could be red, yellow, green, that's three categories, or looking at things on a continuum. So I'm still excited by the difference that comes about by understanding when we're in the black-and-white mode or the category mode or the attribute data mode versus the variable mode, and still have a belief that we can't have continuous improvement or continual improvement if we're stuck in an attribute mode.

0:02:22.9 BB: And more on that later, that's one. I talked about Thomas Jefferson meeting Honoré Blanc and getting excited about the concept of interchangeable parts. And I had the date wrong, that was 1785, if anyone's keeping score there. He was ambassador to France from 1785 to 1789, but it was in 1792 that he wrote a letter to John Jay, who was a...I think he was a Commerce Secretary. Anyway, he was in the administration of Washington and shared the idea. I was doing some research earlier and found out that even with the headstart that Blanc had in France, 'cause back in 1785, Jefferson was invited to this pretty high level meeting in Paris where Blanc took a, I guess, like the trigger mechanism of 50 different rifles. Not the entire rifle, but just the...let's just call it the trigger mechanism with springs and whatnot. And he took the 50 apart and he put all the springs in one box, all the other pieces in their respective boxes and then shook the boxes up and showed that he could just randomly pull a given spring, a given part, and put 'em all together. And that got Jefferson excited. And the...what it meant for Jefferson and the French was not just that you can repair rifles in the battlefield quickly.

0:03:56.9 BB: Now, what it meant for