معرفی
Dr. Markus Hilbert is a researcher at FernUniversität in Hagen's Faculty of Business Administration and Economics within the Department of Business Administration, especially Quantitative Methods and Business Mathematics. Since May 2018, he has conducted research and supervised student theses while completing his doctorate in May 2024 on energy-flexible production planning.
He earned a Master of Science in Business Mathematics from TU Dortmund University (2017), where his thesis investigated integrated reporting in Europe and his mathematical focus centered on optimization techniques.
Hilbert's research targets sustainable industrial production through model-driven analysis of energy and emission savings, developing innovative methods like the Center of Gravity indicator for sustainability assessment. His work specializes in multi-criteria optimization for eco-energy-efficient scheduling, lot-sizing, and demand response systems, directly addressing climate targets by reducing industrial CO₂ footprints.
His publication portfolio reveals a concentrated trend toward operationalizing sustainability in production systems, with 5 of 6 articles (2023-2024) advancing tri-criteria optimization frameworks that balance economic, energy, and environmental objectives in real-world manufacturing contexts.
Key scientific recognition includes:
- Best Dissertation Award at Dies Academicus 2024
- Outstanding Scientific Paper Award for Young Scientists at Dies Academicus 2024
Hilbert actively mentors students on optimization topics including machine learning in metaheuristics, digital twins, and robust scheduling while leading the Applied Optimization research group. This team advances projects like drone-based vehicle routing, nurse rostering for dialysis clinics, and waste-to-energy facility management under the university's Energy, Environment & Sustainability research focus.
He contributes to the Management of energy-flexible factories (MaXFab) project and the Sustainable Supply Chains research cluster as a member of the Society for Operations Research, bridging theoretical optimization with industrial decarbonization challenges.
