The review shows that Industry 4.0 has become vital to supply chain innovation, driving advances in visibility, predictive analytics, traceability, risk management and operational resilience. At the ...

Industry 5.0 brings compute challenges that require not only rethinking around energy use, heat management, and raw materials ...

Many manufacturing efforts stall because dashboards and pilots do not translate into real decision-making improvements. Decision intelligence bridges the gap between data overload and confident action ...

In the era of Industry 4.0, manufacturing is no longer defined solely by mechanical precision; it’s now driven by data, connectivity, and intelligence. Yet downtime remains one of the most persistent ...

Industry 4.0 is not just about automation. It’s about smart systems that sense, adapt, predict and act in real time. One example is inventory control, which was once a centralized back-office function ...

Newly built smart factories get all the attention, but the reality for most manufacturers is figuring out how to modernize existing facilities with equipment investments they can’t simply discard. The ...

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 ...