Curriculum Vitae

Erwin Sirovnik studied industrial engineering with a focus on mechanical engineering. As part of his studies he completed an international one-year study program in Supply Chain and Logistics Management at Växjö University in Sweden. Erwin Sirovnik gained his first professional experience in production planning at a pharmaceutical contract manufacturer, where he was involved in the development of a market-oriented as well as pharmaceutical-specific forecast system. After successfully completing his part-time Master in Business Administration (MBA) degree with an emphasis on Manufacturing Management, he changed his professional orientation on production planning in the steel industry. In addition to the operative business, he carried out various optimization projects in the area of input material planning and the internal supply chain. Since 2019 Mr. Sirovnik has been an external doctoral student at the TU Dortmund University at the ITPL department and since 2020 he has been supervising an international research project in his company, which is supported by the Research Fund for Coal and Steel (RFCS). His research work concentrates with a steel focus on knowledge discovery in connection with relevant key performance indicators in the production, which serve as a basis for multi-objective optimization in scheduling.



ORCID

0009-0005-0602-418X


Fields of Research



Publications:

Iannino, V.; Colla, V.; Maddaloni, A.; Brandenburger, J.; Rajabi, A.; Wolff, A.; Ordieres, J.; Gutierrez, M.; Sirovnik, E.; Mueller, D.; Schirm, C.: A Hybrid Approach for Improving the Flexibility of Production Scheduling in Flat Steel Industry. Integrated Computer-Aided Engineering, pre-publication, 2022, DOI 10.3233/ICA-220685. download Details.

Sirovnik, E.: Methode für die Echtzeit-Prognose von Produktionskennzahlen zur multi- kriteriellen Maschinenbelegungsplanung für eine flexible Fließfertigung in der Stahlindustrie. In: Rabe, M.; Scheidler, A.-A. (eds.): Drei Dutzend Jahre Simulationstechnik - Festkolloquium September 2022. Göttingen: Cuvillier 2022, pp. 27-28. download SR_04_Festkolloquium.pdf

Iannino, V.; Colla, V.; Maddaloni, A.; Brandenburger, J.; Rajabi, A.; Wolff, A.; Ordieres, J.; Gutierrez, M.; Sirovnik, E.; Mueller, D.; Schirm, C.: Improving the Flexibility of Production Scheduling in Flat Steel Production through Standard and AI-Based Approaches: Challenges and Perspectives. In: Maglogiannis, I.; Macintyre, J.; Iliadis, L. (eds.): Artificial Inteligence Application and Innovations, 17th IFIP WG 12.5 International Conference AIAI. Cham: Springer Nature 2021, pp. 619-632. download Details.

Sirovnik, E.; Brandenburger, J.; Rabe, M.: Considering Surface Inspection Results for Multi-objective Production Scheduling in the Dynamic Environment of the Flat Steel Industry, Conference presentation at Surface Inspection Summit SIS.EUROPE 2021, 9th-11th November 2021, Aachen, Germany. Details.

Sirovnik, E.; Schirm, E.C.; Müller, D.; Rabe, M.; Brandenburger, J.; Rajabi, A.; Wolff, A.; Ordieres, J.; Gutierrez, M.; Colla, V.; Iannino, V.; Maddaloni, A.: Implementation of Multi-objective Production Scheduling in the Dynamic Environment of the Flat Steel Industry. 5th European Steel Technology and Application Days (ESTAD), Stockholm, August 30th-September 2nd, 2021. Details.