IPCOS blog

Advanced process control (APC) solutions such as MPC (model predictive control) have the ability to unlock vast amounts of hidden value by improving process stability and continuously optimising processing plants. MPC solutions make use of models derived from the actual process to predict future...

Topics: Advanced Process Control

One of IPCOS’s clients has plants all around the globe, from the United States to Italy to Germany, each with unique process operations and different principles in calculating performance, with Overall Equipment Effectiveness (OEE) being the Key Performance Indicator (KPI). The management of the...

Topics: Data Management, Digitalization, Industry 4.0, Operational Excellence

From refineries to petrochemical and chemical industries, the Smith predictor is used to improve the control of processes with a long dead time. The delayed behavior of the process is compensated by using an approximated model in the control structure. It is common for process control engineers to...

Topics: Advanced Process Control

The project in this blog is typical of batch chemicals producers who need to digitalize their highly distributed plants. In this case, relevant data was not collected in an automated fashion, and data centralization did not exist. Deploying performance management solutions on a site-by-site basis...

Topics: Data Management, Industry 4.0

According to the U.S. Environmental Protection Agency, sustainable manufacturing is “the creation of manufactured products through economically-sound processes that minimize negative environmental impacts while conserving energy and natural resources.” This definition attempts to balance economic...

Topics: Industry 4.0, Emissions

In the broad process industry, units operating automatically, e.g., through the application of advanced process control (APC) or real-time optimization (RTO) digital technology, can become up to 10% more efficient. By automatically calculating product quality and adjusting key process parameters,...

Topics: Advanced Process Control, Industry 4.0

Without knowing the exact sources and amounts of emissions, taking ownership of a plant’s environmental liability and prioritizing sustainability efforts will require more data transparency. Emissions from a complex integrated process may be distributed and variable over time. For a refinery with...

Topics: Industry 4.0, Emissions

PI Process Book will no longer be supported at the end of 2024. IPCOS investigates the possible alternatives in regards to trending, dashboarding and production surveillance. Building on IPCOS’ expertise to select a viable replacement A long-lasting client of IPCOS was a heavy user of PI Process...

Topics: Data Management, Industry 4.0

Building corporate dashboards and site-level applications that provide engaging insights Аn IPCOS client, a company with more than 50 plants mostly in specialty chemicals, was struggling with the vast variability of how PID loops were operated and tuned between plants. The customer did not have...

Topics: Advanced Process Control, Digitalization