The W. Edwards Deming Institute Blog

Archive for the ‘systems thinking’ Category

Standardization Doesn’t Stamp Out Creativity

I understand some of the ideas Dr. Deming expressed challenge people’s beliefs and are difficult to accept. I can accept that. Certain exclamations I have more trouble accepting. One of the things I find annoying, in this way, is that reducing variation and using standardization is said to mean everyone has to be the same […]

Create Constancy of Purpose

The purpose of creating constancy of purpose is to maximize the benefits to the organization of the other facets of Deming’s management system. It is not an end, it is the means to an end.

People Copy Examples and Wonder Why They Don’t Succeed

People copy examples and then they wonder what is the trouble. They look at examples and without theory they learn nothing. W. Edwards Deming in The Deming of America. See a longer quote with more context. We can learn from looking at what others do well. But when we try and copy practices, processes, techniques, […]

Adaptation of the 14 Points to Medical Service

Dr. Deming’s 14 points for management have been put into various specific contexts by people over the years. Dr. Paul Batalden and Dr. Loren Vorlicky of the Health Services Research Center translated them into a health care context. Dr. Deming included their work in Out of Crisis, pages 201-202: 6. Restructure training.   a. Develop the […]

The History and Evolution of the PDSA Cycle

Ron Moen and Clifford Norman wrote a very interesting article on the history of the PDSA cycle: Clearing up myths about the Deming cycle and seeing how it keeps evolving. It is not enough to determine that a change resulted in improvement during a particular test, according to Moen, Nolan and Provost. As you build […]

Some Statistical Logic in the Management of Quality by W. Edward Deming

W. Edwards Deming wrote Some Statistical Logic in the Management of Quality to fill in some of the missing links in the use of statistical methods, with special reference to responsibilities at the management level for effective mobilization of statistical knowledge and skills. In the paper, he describes statistical control of quality as a system, […]