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Harish Jose
I am writing today about “bootstrap kaizen.” This is something I have been thinking about for a while. Wikipedia describes bootstrapping as “a self-starting process that is supposed to proceed without external input.” The term was developed from a 19th-century figure of speech—“pull oneself over a…
Gary Bell
It is all too common in the industry: A part design is created and sent out for production only to hit repeated snags as questions arise about datums, locators, symbols, and values. Even simple misunderstandings, such as where the geometric dimensioning and tolerancing (GD&T) lines terminate,…
Anthony Chirico
In my first article, the merits and cautions of AS9138 c=0 sampling plans were discussed and a simple formula was provided to determine the required sample size to detect nonconforming units. In the second article, the process control properties of MIL-STD-105 c>0 sampling plans were…
Anthony Chirico
In my previous article, I discussed the merits and cautions of the “acceptance number” equal zero (c=0) sampling plans contained within AS9138. A simple formula was provided to determine appropriate sample size, and it was illustrated that twice the inspection does not provide twice the consumer…
Anthony Chirico
Aerospace standard AS9138—“Quality management systems statistical product acceptance requirements” was issued this year (2018), a few years after its accompanying guidance materials in section 3.7 of the International Aerospace Quality Group’s (IAQG) Supply Chain Management Handbook. The new…
Dirk Dusharme @ Quality Digest
In this all-manufacturing episode, we look at the STEM pipeline into manufacturing, supplier development, how to make sense of manufacturing data and, no, manufacturing is not dead.
“Strengthening the STEM Workforce Pipeline Through Outreach”
NIST does more than just research and come up with…
Donald J. Wheeler
Parts One and Two of this series illustrated four problems with using a model-building approach when data snooping. This column will present an alternative approach for data snooping that is of proven utility. This approach is completely empirical and works with all types of data.
The model-…
Rip Stauffer
I must admit, right up front, that this is not a totally unbiased review. I first became aware of Davis Balestracci in 1998, when I received the American Society for Quality (ASQ) Statistics Division Special Publication, Data “Sanity”: Statistical Thinking Applied to Everyday Data. At the time, I…
Ryan E. Day
‘In God we trust; all others bring data.” “Follow the data.” “Let the data talk.” Nice clichés, but there’s one problem... data can’t talk. In fact, data don’t say a darn thing. Data are bits of raw information. If you want to reduce product variation, improve your manufacturing processes, and…
Glenn S. Wolfgang
Flow quality management (Flow QM) is a logistical alternative to handling product in lots for the purpose of assessing and mitigating defects. It features a streamlined, automated acceptance sampling methodology, is built on empirical metrics, and facilitates timely, meaningful performance…
Stephen Salata
It’s an open secret that many automotive and aerospace manufacturers have unacceptably high defects and costs. And where defects are on the rise, quality costs aren’t far behind.
Even one defect could mean recalling an entire batch, a problem that can cost thousands of dollars per minute if it…
Scott A. Hindle
I recently got hold of the set of data shown in figure 1. What can be done to analyze and make sense of these 65 data values is the theme of this article. Read on to see what is exceptional about these data, not only statistically speaking.
Figure 1: Example data set.
A good start?
While…
Anthony D. Burns
Quality is related to processes. A process is “a series of actions or steps taken in order to achieve a particular end.” It doesn’t matter whether the process is the handling of invoices, customers in a bank, the manufacture or assembly of parts, insurance claims, the sick passing through a…
Cheryl Pammer
Confidence intervals show the range of values we can be fairly, well, confident, that our true value lies in, and they are very important to any quality practitioner. I could be 95-percent confident the volume of a can of soup will be 390–410 ml. I could be 99-percent confident that less than 2…
Rip Stauffer
A lot of people in my classes struggle with conditional probability. Don’t feel alone, though. A lot of people get this (and simple probability, for that matter) wrong. If you read Innumeracy by John Allen Paulos (Hill and Wang, 1989), or The Power of Logical Thinking by Marilyn vos Savant (St.…
Mike Richman
There are many subjects that we cover regularly here at Quality Digest. Chief among these are standards (ISO 9001 or IATF 16949, for example) methodologies (such as lean, Baldrige, or Six Sigma), and test and measurement systems (like laser trackers or micrometers). One topic, however, is…
Matthew E. May
Process improvers the world over rally around root cause analysis as if it were the holy grail of all things organizational. But is it?
Understanding the root cause of a problem certainly makes sense in the context of a present day situation carrying the potential for a correct answer or solution…
Dirk Dusharme @ Quality Digest
In our May 11, 2018, episode of QDL, we looked at overproducing ideas, bad quotas (aren’t they all), and how anger can help identify core values.
“Questioning Quotas”
When are quotas bad? Most of the time. But here’s a good example.
“How to Find Your Company’s Core Values”
Oddly enough, your…
Harish Jose
I have been writing about kaizen a lot recently. It is a simple idea: change for the better. Generally, kaizen stands for small incremental improvements. Here I’m going to look at what is the best kind of kaizen.
The twist in the dumpling
A few posts back, I talked about the order for kaizen,…
Willie L. Carter
Becoming a process-focused organization requires a sustained effort, and for most industrial and service organizations that is a difficult task. Failure to improve the performance of your processes leads to a failure to improve the organization and results in improperly managing the business.
All…
Douglas C. Fair
Here’s a quick rundown of what we covered in part one of our list of top 10 mistakes to avoid when using statistical process control (SPC): training everyone, charting everything, segregating control charts from manufacturing, “pinching” the SPC coordinator, and using SPC because it’s a “good thing…
Douglas C. Fair
As you think about your organization’s manufacturing quality efforts—what you’ve overcome and what you hope to accomplish in the future—there is something you need to know.
You: What? Who? Me?
Me: Yes, you. No matter how long you’ve been playing this game (and I know many of you have been playing…
William A. Levinson
Inspection is a mandatory but nonvalue-adding activity, and our objective is to do as little as possible, provided that we continue to fulfill the customer’s requirements. The zero acceptance number (c = 0) sampling plan requires far less inspection than the corresponding ANSI/ASQ Z1.4 (formerly…
Mike Richman
QDL always strives to bring you a look at the people and stories making the news in the world of quality. We succeeded admirably on the “people” side of things this week and threw in a fun story about the physics of the basketball to boot. Let’s take a closer look:
“Clarity First Book Review and…
Debashis Sarkar
The cheating at Kobe Steel shook not just Japan but the entire manufacturing world. As Kobe Steel CEO Hiroya Kawasaki revealed, about 500 companies had received its falsely certified products, which affected not only those companies but also its entire supply chain. However, the issue at Kobe was…
