On-Demand Webinar

How to improve plant availability with an intelligent digital assistant

This webinar will provide insights into today’s challenges of condition monitoring in a steel plant, present a state-of-the-art solution from Primetals Technologies, a solution from Mitsubishi Electric Europe based on artificial intelligence, and participants can experience a live demonstration of an intelligent digital assistant.

Within the last decades more and more sensors and systems were added to steel plants to collect more and more data and information. The huge number of systems, information and alerts cannot be handled by humans anymore – not even by experienced operators or maintenance engineers.
Therefore, how can an operator or maintenance engineer properly handle the myriad of data and warnings of his steel plant to ensure a high plant availability? Obviously, the answer is a sufficiently intelligent software. But what are important characteristics of such a solution, and what are the requirements for a steel producer to operate such a system?


Target audience:

  • Head of Maintenance
  • Maintenance Supervisors
  • Electrical Supervisors
  • Plant Manager

Key takeaways:

  • Gain insights into today’s challenges of condition monitoring in steel industry
  • Learn about requirements for an intelligent digital assistant to ensure plant availability 
  • Experience a live demonstration




Division Manager FA-EDC, Mitsubishi Electric Europe

After completing his studies in electrical engineering, Andreas Pfaff started as hardware developer at Mitsubishi Electric Europe. The special attraction of this position was a stay abroad, which brought him to the development department of the Mitsubishi Electric Corporation plant in Himeji/Japan for 2 years right after the start. After returning with ample experience of Japanese culture and Mitsubishi Electric's understanding of development standards and product quality, he continued as a developer at the Factory Automation European Development Center in Ratingen, later assuming responsibility as a group leader, and since 2019 he has been responsible for the entire development department in Ratingen. His activities focus on digitalization (Industrie 4.0) as well as new communication and production technologies.


Condition Monitoring Engineer, Primetals Technologies

Originally, Sebastian Kündinger studied electrical engineering and information technology while working at Siemens Metals Technologies. After his graduation Sebastian started to work full-time in the field of basic automation for cold rolling mills switching later to the field of condition monitoring. For eight years now he has been responsible for the development of evaluations in condition monitoring systems. In his daily work life, he strives to collaborate with steel producers and improve the availability of steel plants based on the analysis of process data.


Head of technological controls, simulation and condition monitoring systems, Primetals Technologies

Andreas Maierhofer originally completed his education as electrotechnical engineer. For more than 25 years, he was then responsible for the erection and commissioning of rolling mills at Siemens. Within the last 14 years, Andreas was active in sales, product management as well as in research and development for cold rolling mills. Today, one of his focus topics is the intelligent condition monitoring of steel plants. After so many years working for steel industry, Andreas is still curious and full of ideas as well as passion how to improve the performance of cold rolling mills all around the world.



Marketing Manager EA, Primetals Technologies

Christoph Stangl has more than 25 years international experience in marketing, sales, consulting, manufacturing and (information) technology. At Primetals Technologies he acts as moderator, conceptioner and creator of remarkable content. Christoph focuses on the needs, pains and gains of steel producers and solutions to improve the automation, optimization and digitalization of their steel plants.