The digital thread will evolve from a connected data backbone into an intelligent, action-oriented operating layer.

One of the earliest stories in computing captures a problem manufacturing still struggles with today. In 1947, engineers working on the Harvard Mark II traced a malfunction to a moth stuck inside a ...

Use of machine learning and artificial intelligence (ML/AI) is on an exponential rise across fields 1 including all aspects of the semiconductor industry. In the last decade, the use of ML/AI exploded ...

What happens when assembly systems, process control, motion tracking and production data all operate in separate silos? In ...

Why viewing MES not just as a monitoring tool but a data contextualizer is critical to digital transformation, as it provides meaning to disparate machine and sensor data. How integrating control and ...

Successful modern manufacturing means making the most of cutting-edge technologies. One advance that has reshaped manufacturing practices is the incorporation of data analytics. Data analytics unlocks ...

In the rapidly evolving landscape of modern manufacturing and engineering, a new technology is emerging as a crucial enabler-Data-Model Fusion (DMF). A recent review paper published in Engineering ...

Real-time security clearances are becoming increasingly common in the manufacturing of advanced-node semiconductors, where data sharing is both essential and a potential security threat. Data security ...

There is now broad consensus that data-driven decision-making is essential to success in today’s highly competitive manufacturing environment. Customers’ price-consciousness, combined with demands for ...

We're all familiar with photos of Ford’s production lines in 1920. Would we recognize them today? As part of the broader Industry 4.0 trend, systems in many factories have modernized considerably in ...