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Donald J. Wheeler
Many different approaches to process improvement are on offer today. An appreciation of the way each approach works is crucial to selecting an approach that will be effective. Here we look at the problem of production and consider how the different improvement approaches deal with this problem.…
James J. Kline
Big data is a relatively new phenomenon. Its use is increasing in many organizations. But, as with many new processes, its use cuts both ways. It has positive benefits to both the organization and customers. It also has its potential downside. This piece looks at both with respect to the quality…
Donald J. Wheeler
Students are told that they need to check their data for normality before doing virtually any data analysis. And today’s software encourages this by automatically providing normal probability plots and lack-of-fit statistics as part of the output. So it’s not surprising that many think this is the…
Brittney McIver
At some point, every medical device company will encounter an issue that requires an internal investigation. Whether it’s due to a nonconformance, complaint, CAPA, or an audit issue, you’ll have to conduct a failure or root cause investigation to pinpoint why the issue occurred in order to resolve…
Anthony Tarantino
In 2007, Nassim Taleb described black swans as highly improbable events that had dramatic or even catastrophic effects on markets and economies. Until recently, it seemed that such events were indeed rare.1 There’s now a major rethinking with the world entering the third year of the Covid-19…
Scott A. Hindle
In 2010, new to the world of statistical process control (SPC), I was intrigued by Don Wheeler’s statement that “No data have meaning apart from their context” (from his book, Understanding Variation—The Key to Managing Chaos, SPC Press, 2000, available on Amazon). For a while, I didn’t…
V R Vijay Anand
As the world moves toward a new, post-pandemic normal, industries must leverage digital transformation at an accelerated pace. This is already happening. According to IBM, 67 percent of manufacturers have accelerated digital projects since Covid-19.
Although improved operational efficiency is…
Donald J. Wheeler
Last month we looked at analyzing observational data. Here we will consider experimental data and discover a weakness in the way they are obtained that can contribute to the problem of nonreproducible results.
Background
The discipline of statistics grew up in agricultural and biomedical research…
Donald J. Wheeler
Most of the world’s data are obtained as byproducts of operations. These observational data track what happens over time and have a structure that requires a different approach to analysis than that used for experimental data. An understanding of this approach will reveal how Shewhart’s generic,…
Cameron Shaheen
With the holidays fast approaching, manufacturers, distribution centers, and e-commerce providers are working to meet growing customer demand, while also navigating severe supply-chain disruptions and mounting labor shortages. At this point, we all had hoped to have the devastating effects of the…
David Isaacson
Within every organization, problems or incidents arise that can affect the quality of your operations. Take for example, food recalls due to improper food labeling that not only could cause sickness in humans, but also result in a hit to a company’s reputation. Or, automotive product recalls due to…
David Cahn
Lean Six Sigma has improved manufacturing operations and processes for years now. Now the effect of the methodology is extending to supply chain and operations to help eliminate waste and reduce variation. Using lean to eradicate waste and Six Sigma to eliminate defects by reducing process…
James Wells
I was talking recently with a friend who runs an academic program at a major U.S. university. She was telling me about solving a problem in her department and how the solution was obvious so she just did it. She then related how one of her colleagues protested that she should have used some Six…
Gregg Profozich
Welcome to the third installment of our series on lean and Six Sigma. As we saw in the first article, lean and Six Sigma are complementary continuous improvement methodologies that reduce the overall waste and variability, respectively, in production processes. The second article went into some…
Gregg Profozich
The manufacturing world, across industry sectors, has witnessed significant improvements in productivity and competitiveness during the past couple of decades as a result of continuous improvement (CI) methodologies. Two of these methodologies that are recognized as having broad applicability are…
Jay Arthur—The KnowWare Man
There are two ways to increase profits: increase sales or reduce costs. Although most data analysis seeks to find more ways to sell more stuff to more people, addressing preventable problems is an often overlooked opportunity. Preventable problems consume a third or more of corporate expenses and…
Anthony D. Burns
Augmented reality (AR) means adding objects, animations, or information, that don’t really exist, to the real world. The idea is that the real world is augmented (or overlaid) with computer-generated material—ideally for some useful purpose.
Augmented reality has been around for about 30 years.…
Tom Taormina
After more than 50 years as a quality control engineer and having worked with more than 700 companies, it is my observation that the vast majority of quality professionals hold their prime directive to be reducing defects to the lowest acceptable level by minimizing process variability. Most of us…
Michael Popenas
Product development (PD) is the life blood of a company’s success and is the process for innovation. Today, product life cycles are shrinking due to an ever-increasing number of competitive and disruptive products coming to market quicker.
To stay in business, a company’s PD needs to become more…
James J. Kline
In today’s coronavirus environment, governments at all levels are under greater fiscal pressure. For instance, Oregon’s governor has told state departments to prepare for a 12-percent reduction in their budgets. Given this environment, perhaps it is time to reexamine an established approach to…
Greg Hutchins
My recent epiphany was that the lens for all work and even for everyday living during the next few years will be risk-based. Why do I make this case?
In January 2020, my company was selected to participate in the largest pitch fest in the Northwest, TechfestNW, which was originally scheduled for…
Ryan Ayers
Data are valuable assets, so much so that they are the world’s most valuable resource. That makes understanding the different types of data—and the role of a data scientist—more important than ever. In the business world, more companies are trying to understand big numbers and what they can do with…
Taran March @ Quality Digest
What is quality intelligence, exactly? It’s more than marketing spin. More, even, than the sum of its many control charts. It’s not collecting data simply to further go/no-go actions. And it doesn’t mean turning the cognitive wheel entirely over to artificial intelligence, either—far from it.
We…
Ryan E. Day
An organization can achieve great results when everyone is working together, looking at the same information generated from the same data, and using the same rules. Changes can be made that affect a company’s bottom line through operational improvements, product quality, and process optimization.…
Ken Levine
Lean Six Sigma (LSS) professionals have an enormous opportunity to add value to organizations and to our communities during this coronavirus pandemic. We have the objective orientation, methods, and tools to help. Process improvement is currently more important than ever in this “new normal”…