Digital twins have become indispensable tools across industries.

Growing up in rural Pennsylvania, I didn’t have scientists for role models. In fact, I’m the first woman in my family to get a college degree, much less become a scientist.

Management by objectives isn’t just a way to set direction for an organization. It’s a prerequisite for creating sustainable development and a culture of continuous improvement.

Regular inspection is absolutely vital with industrial transmission systems. Just like the gearbox in an everyday car, components are prone to wear, misalignment, and fatigue—issues that can lead to machinery failure.

I’ve had this conversation countless times—sometimes with a frustrated client, often with a colleague, and occasionally with my own reflection.

What’s truly holding your discrete manufacturing shop back from reaching its full potential? It’s often not the commonly cited culprits like labor shortages, razor-thin margins, or fierce competition. It’s more often paper: the unseen, insidious enemy.

The conversation about generative AI (gen AI) is unavoidable in today’s business land

In this article I’m looking at a question that’s rarely asked in management: What if the most responsible course of action isn’t to maximize benefit, but to minimize harm? In decision theory, this is expressed as the minimax principle.

Even the smallest manufacturer would never consider using a typewriter to develop an invoice, or manage a sales prospect list from a Rolodex.

Amidst uncertainty in manufacturing, AI adoption, labor market fluctuations, and salary disparities across industries and geographic regions, quality professional compensation can be difficult to navigate.