The difference between common (or random) cause and special (or assignable) cause variation is the foundation of statistical process control (SPC).

Meetings give me a rash. A really bad one. One that not even calamine lotion can soothe. The only things worse than meetings are reports. Standard daily reports, weekly reports, hourly reports. Reports on the status of reports.

If you could experience the perfect workday, what would you be doing? Have you ever taken the time to think about it? 

As we learned last month, the precision to tolerance ratio is a trigonometric function multiplied by a scalar constant. This means that it should never be interpreted as a proportion or percentage.

Let’s start with a definition of Industry 4.0, keeping in mind that we’re rapidly approaching Industry 5.0. Industry 4.0 is an era marked by enhanced digitization and the increased connectivity of smart technologies.

An increasing number of engineers are embracing design for manufacturing (DFM) to streamline their production workflow. Industry leaders such as Apple, GE, and Samsung have already adopted DFM as part of their standard practices.

The success run theorem is one of the most common statistical rationales for sample sizes used for attribute data.

Mental toughness is a quality that sets extraordinary individuals apart from the rest, enabling them to endure discomfort and uncertainty for extended periods. But what exactly is mental toughness? Can it be achieved without undergoing severe stress and trauma?

Peter Drucker, celebrated by BusinessWeek magazine in 2005 as “the man who invented management,” is credited with a concept that has created confusion for me throughout my work life: the distinction between knowledge work and manual work.

Risk analytics is a vital component of risk management that uses statistical models, data analysis, and predictive modeling techniques to assess, quantify, and mitigate risks in various domains.