ExxonMobil has shared details of its live implementation of open process automation at a chemical plant, describing the modernization of a traditional distributed control architecture toward a more open, vendor-neutral approach. Read More →
A 2026 study demonstrates a multi-horizon Model Predictive Control approach for chemical plants, combining physics-informed neural networks with MPC to optimize production under variable renewable-energy supply and reduce energy costs. Read More →
Recent process-industry research highlights digital twins as an increasingly important technology for chemical plants, supporting process monitoring, simulation, optimization, operator training and lifecycle management. Read More →
AI-based predictive-maintenance systems are being applied to chemical plants using real-time equipment data to identify developing failures and support maintenance before unplanned shutdowns occur. Read More →
Chemical manufacturers are increasingly addressing cybersecurity alongside process safety, with IEC 62443 being used to structure protection of control systems, safety systems and connected plant networks.. Read More →