After reviewing Mark Graban’s wonderful book, Measures of Success (Constancy, 2018), I started rereading Walter Shewhart’s books, 

How do you develop domain knowledge in your analysts, so their data use, interpretation, and recommendations make sense?

While I was facilitating a retreat for a group of 15 men, all in their late 30s and 40s, all high-level executives and all high achievers, an interesting topic arose. One of the men asked for help dealing with his wife, who was complaining he worked too much.

It happens easily enough and usually innocently enough. You start a business or organization then endure what is often a long and expensive learning curve. Along the way you learn. You learn a lot.

Decanter centrifuges from Hiller GmbH, headquartered in Vilsbiburg, Germany, are in demand globally. These centrifuges separate solid and fluid materials, such as in the production of olive oil or wine, or for wastewater treatment.

In a general sense, capability is the ability to do something. Within manufacturing, capability is given a much more specific definition. It is an expression of the accuracy of a process or equipment, in proportion to the required accuracy.

Given the recent, renewed intensification of the shareholder vs.

Manufacturers often have a love-hate relationship with technology, particularly artificial intelligence (AI) and other solutions that have the potential to affect jobs.

Recently, I got the chance to travel to Youngstown, Ohio. As I came into town, it struck me that Youngstown was like many other cities across America, including my hometown of Buffalo, New York.

There is a lot of buzz these days in the manufacturing sector about robots—and how they can help manufacturers address some of the challenges they face in today’s market, such as increased productivity and the scarcity of skilled workers.