Glenn S. Wolfgang’s picture

By: 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 monitoring and management.

Stephen Salata’s picture

By: 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 means a line stoppage for a customer. In extreme cases, a customer’s entire plant might have to shut down, with the full cost billed to you.

Scott A. Hindle’s picture

By: 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.

Anthony D. Burns’s picture

By: 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 hospital, or any one of thousands of other examples. A process involves movement and action in a sequential fashion.

Cheryl Pammer’s picture

By: 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 percent of the products in my batch are defective.

Demonstrating an improvement to the process often involves proving a significant improvement in the mean, so that’s what we tend to focus on—the center of a distribution.

Rip Stauffer’s picture

By: 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’s picture

By: 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 consistently at the very top of the list when it comes to audience popularity—industrial statistics, including statistical process control (SPC).

Dirk Dusharme @ Quality Digest’s picture

By: 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.

Willie L. Carter’s picture

By: 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.

William A. Levinson’s picture

By: 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 MIL-STD 105) plan, and becomes viable when the supplier is extremely confident in its level of quality.1

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