We help organizations increase performance through consulting and education in quality management technologies.
Organizations shape their future through continual learning and action. Leaders ensure congruence of words, behaviors
We’ve consulted to Fortune 500 companies, family-owned businesses, nonprofit organizations, and start-ups. More than 700 organizations have sent individuals to our public workshops, including the manufacturing, healthcare, education, government
Following are some clients from the manufacturing sector: ABB, Alcan, Alcoa, Arthrex, Baxter, BAE Systems, Bell Helicopter, Bosch, Brunswick, Caterpillar, Flowserve, Fresco Systems, Hydro Aluminum, Jack Daniel Distilleries, John Deere, Johnson Controls, Kennametal, Lockheed Martin, Parker Hannifin, Philips Consumer Electronics, Rockwell, Schick, Smith & Nephew, Studsvik and TRW.
Some from the financial, healthcare, public, reverse logistics and service sectors include: BlueCross BlueShield TN, Lombard Elementary School District, Miami Performing Arts Center, Mountain States Health Alliance, Oak Ridge National Laboratory, Octapharma Plasma, RenaissanceRe, Image 1 Wireless and U.S. Food & Drug Administration.
Some educational institutions, professional organizations and private training groups for which we’ve delivered public, in-house or internet-based workshops include: American Quality Institute, American Society for Quality, AudioSolutionZ.com, Caribbean Institute for Quality, Design Management Alliance, East Tennessee State University, JP Russell & Associates, KnowWare, Maine MEP, MSQPC/The Quality Center, North Carolina Association for Healthcare Quality, Northeast State Community College, Paton Professional, Progressive Business Conferences, Progressive Healthcare Conferences, Project Management Institute, Society of Manufacturing Engineers and Whittington & Associates.
Clients of these organizations for whom training has been conducted include: Aerospace companies, automotive suppliers, calibration and test labs, casino industry, city government, clinical research labs, electronic components, defense contractors, energy research labs, federal government agencies, health care providers, insurance companies, medical device manufacturers, military bases, oil & gas industry equipment providers, pharmaceutical companies, power utilities, retail distribution centers, steel service centers, telecommunications firms and transportation infrastructure.
Musings: My Blog
Good risk management involves monitoring leading indicators (known as KRIs, or Key Risk Indicators) that allow an organization to see that something has changed, which means the ability to respond quicker. Obviously someone was asleep at the wheel in many places,...
Since COVID-19 is nearly all you see/hear these days I thought I might as well do my part. Started thinking about how the response to it is related to problems organizations face when trying to do root cause analysis. Here are some thoughts: When a problem occurs...
If your organization screws up so often that you actually advertise that you will (sort of) fix it, you have a serious problem. See Domino's "Delivery Insurance" They're promoting it like it's a great feature (as compared to fixing potholes).
I loved (that's a joke) BMW's comments in this article about the big grille: https://www.autoblog.com/2019/12/17/bmw-defends-big-grille/ I'm thinking that yes, people who buy the vehicles probably are ok with the grille. But what about all the people who DON"T buy a...
You just can't not learn if you listen to Richard Feynman: z6dRcL$g$L.yyYa45
Sidney Dekker is thought of as one of the top gurus relative to human error. Here's a worthwhile video of one of his presentations. Although it's safety-focused, it's just as applicable to quality errors. https://www.youtube.com/watch?v=4E-YN6hD1WU
Here's a lecture that provides a great view of why human behavior is so complex: https://www.youtube.com/watch?v=2bnSY4L3V8s Unfortunately he doesn't take it further with recommendations on how to move people from the Us to the Them view.
I've never been one to worry too much about normality of data. Here's a tremendous article explaining why it isn't particularly important for control charts. https://www.qualitydigest.com/inside/statistics-column/normality-myth-090819.html