Metal foundries are under intense pressure. Soaring energy bills now eat more than 30% of production budgets.

In medical technology, safety is paramount. Every step in the manufacturing process must meet the highest standards, from patient protection to regulatory compliance.

A rapidly growing category of drugs called protein-based biotherapeutics can be used to treat cancers and genetic and autoimmune disorders.

Global-scale events have tested the bounds of supply chain systems. The coronavirus, for example, made it clear how critical an efficient supply chain is for continuity and survival.

Pharmaceutical serialization practices are on the rise and have progressively become a worldwide standard as a result of stringent regulations in various of markets, including the United States, European Union, China, and Argentina.

In life sciences, every decision carries weight—and speed to market is an ever-present consideration. Scientific innovation is moving faster than ever, yet regulatory demands are growing more complex, and supply chain fragility has become the new normal.

Although patient safety is paramount in healthcare settings, about 1 in 10 patients is harmed in healthcare, and more than 3 million deaths occur due to unsaf

Good supplier management is one of the most important methods of building a safe and effective medical device.

Complacency won’t show up on a control chart. But its damage is real. Can AI and systems thinking help us detect it and respond before trust is lost?

I’m further exploring the notion of models and mental models. We often speak of mental models as though they’re neat packages of knowledge stored somewhere in the mind.