PSI Blog

Digitalization Enables Decarbonization of Steel Production

28 Nov 2022, Production, Technology, Energy, Sustainability, Artificial Intelligence

Steel plant’s operations are complex because all production steps are interdependent. This makes it challenging to simultaneously optimize production processes, save energy and comply with COregulations while staying competitive with changing market demands. Steelmakers are investing in transformation to net-zero production, which needs to go hand-in-hand with process digitalization and innovating software systems for efficient production management of planning, scheduling and execution of processes.

Digitalization in Rail Companies Needs Standards – Urgently!

03 Oct 2022, Transport, Technology

Process digitalization on the one hand, manual data transfer to flanking systems on the other: Rail companies have now digitized countless business processes. However, what is missing is becoming increasingly clear – the modeling of these individual building blocks into a powerful overall system. This in turn requires standards.

Direct Rolling Scheduling – The Tight Rope Binding Casting and Rolling

28 Sep 2022, Production, Technology

Steel making process has truly evolved. Just like many technological advancements, the introduction of software into the steel making process has become the game changer. Direct Rolling Scheduling (DRS) is an innovative solution that resolves the scheduling complexities at the caster and rolling mill both for Endless Strip Production, Compact Strip Production and the traditional steel plant. It works like a charm.

Predictive Maintenance - Optimize Holistically with AI

22 Sep 2022, Artificial Intelligence, Production, Technology

Ensuring high plant availability and minimizing maintenance costs at the same time is a balancing act. The complexity of this area of tension grows with the size of the plant network and the resulting increase in the number of combined, in some cases contradictory, influencing factors. More and more companies are therefore turning to predictive asset management to analyze complex plant systems precisely and in real time and to operate them in an optimized manner.