The quest to optimize equipment efficiency, ensure consistent quality, and lower operational costs while empowering a stronger workforce continues to permeate the industrial landscape.

When do we need to fit a lognormal distribution to our skewed histograms? This article considers the basic properties of the lognormal family of distributions and reveals some interesting and time-saving characteristics that are useful when analyzing data.

My favorite time of year is rolling around (and no, it’s not the holidays with their nauseatingly excessive tinsel-before-turkey consumerism). I’m talking about the time for end-of-year progress reviews.

From monitoring concentrations of greenh

It’s hard asking for help. Getting rejected stings. But by not asking, you’re probably missing out on some great opportunities.

There’s an old saying in regulated industries: If it isn’t documented, it didn’t happen.

In the ever-evolving landscape of manufacturing, operational efficiency is paramount. The seamless functioning of machinery not only ensures optimal production but also minimizes downtime and associated costs.

For professor Elsa Olivetti, tackling a problem as large and complex as climate change requires not only lab research but also understanding the systems of production that power the global economy.

As manufacturers transition toward Industry 4.0 to speed up production cycles and accelerate their time to market, they nevertheless continue to face many challenges, particularly with respect to automating quality control.

Anyone who has ever seen a crew team rowing down the river has likely wondered why one person is a passenger and everyone else in the boat is rowing like mad. It would seem the coxswain has the easiest job in the boat.