Cash is king for manufacturers, from the owner down to the machine operators. If you visit any manufacturer, you’ll see that most have a keen eye on how everything is being used.

I had just finished a keynote presentation and was at the book table set up by the client. Participants were invited to pick up one or more of my books, and the company would pay for them.

Quality management has evolved far beyond traditional checklists and periodic inspections. For complex supply chains, quality is no longer a static endpoint.

In last month’s article, “ANOVA and the Process Behavior Chart,” we saw how both techniques use the same basic comparison to answer completely d

Understanding the inner workings of your industrial artificial intelligence (IAI) system is crucial if you want it to add measurable value to your manufacturing operations. Here, we’ll dig into one important aspect of every AI: the inputs, aka your data.

In global manufacturing, two key goals—intertwined yet distinct—heavily dominate the industry’s agenda: addressing the growing demand for environmentally sustainable practices, and optimizing operational efficiency.

Today I’m looking at the free energy principle (FEP) by the British neuroscientist Karl Friston. The FEP basically states that to resist the natural tendency to disorder, adaptive agents must minimize surprise.

In the ever-changing landscape of business management, the concept of quality has undergone significant transformations.

Wharton management professor Peter Cappelli is routinely asked to predict the future of work.

Paul was sitting in his office staring at production numbers from the past quarter. Despite having a great team, strong customer demand, and state-of-the-art equipment, the factory’s performance wasn’t meeting expectations.