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Simon Mählkvist

I am a research professional from Eskilstuna, Sweden, with a Master's degree in Energy Systems from Mälardalen University. I hold an industrial affiliation with Kanthal, an organization based in Hallstahammar, recognized for its longstanding, 90-year history in manufacturing alloys specifically designed for high-temperature applications.

About Simon's thesis

This research explores the technological transformation of the iron and steel industry through advanced analytics. It employs Batch Data Analytics, Machine Learning, and Cost-Sensitive Learning to optimize industrial operations. Case studies from Kanthal's factory elucidate these methodologies in practical settings. The thesis highlights the importance of intuitive, value-aligned KPIs and advocates a parsimonious approach to model selection. This study provides insights into how legacy industries can innovate and thrive amidst technological changes.

 

Publications:

 

Journal Article

2023 Cost-Sensitive Decision Support for Industrial Batch Processes Simon Mählkvist Jesper Ejenstam Konstantinos Kyprianidis

 

Licentiate Thesis

2024 Cost-Conscious Analytics and Decision Support for Industrial Batch Processes Simon Mählkvist

 

Conference Paper

2024 Comparing Feature and Trajectory-Based Remaining Useful Life Modeling of Electrical Resistance Heating Wires Simon MählkvistWilhelm Söderkvist VermelinT. HelanderKonstantinos Kyprianidis

2022 Consolidating industrial batch process data for machine learning Simon MählkvistJesper EjenstamKonstantinos Kyprianidis