Person

Dipl.Ing. Mag. Judith Scagnetti

former employee

Education

University of Vienna, Teaching degree (mathematics, psychology&philosophy), Mag.
Oct 2006 - Feb 2013
Vienna University of Technology, Technical Mathematics (Mathematics in Economics), DI
Oct 2005 - Nov 2014

Professional career & activities

FH OÖ Forschungs- und Entwicklungs GmbH, Research Assistent, research and development in the area of simulation-based and combinatorial optimization problems
Oct 2014 - dato

Research interests

  • Optimization Methods in Production and Logistics
  • Heuristic Optimization Methods
2018
F. Tricoire, J. Scagnetti, A. Beham - New insights on the block relocation problem - COMPUTERS & OPERATIONS RESEARCH, 2018, pp. 127-139 more
2018
J. Fechter, A. Beham, S. Wagner, M. Affenzeller - Approximate Q-Learning for Stacking Problems with Continuous Production and Retrieval - Applied Artificial Intelligence, 2018 more
2015
A. Beham, J. Fechter, M. Kommenda, S. Wagner, S. M. Winkler, M. Affenzeller - Optimization Strategies for Integrated Knapsack and Traveling Salesman Problems - Lecture Notes in Computer Science LNCS 9520, Las Palmas, Gran Canaria, Spain, 2015, pp. 359-366 more
2015
J. Fechter, A. Beham, S. Wagner, M. Affenzeller - Modelling a Clustered Generalized Quadratic Assignment Problem - Proceedings of the 27th European Modeling and Simulation Symposium EMSS 2015, Bergeggi, Italy, 2015, pp. 7 more
2015
S. Raggl, J. Fechter, A. Beham - A Dynamic Multicommodity Network Flow Problem For Logistics Networks - Proceedings of the 27th European Modeling and Simulation Symposium EMSS 2015, Bergeggi, Italy, 2015, pp. 6 more
2015
J. Fechter, A. Beham, S. Wagner, M. Affenzeller - Modeling a Lot-Aware Slab Stack Shuffling Problem - Lecture Notes in Computer Science LNCS 9520, Las Palmas, Gran Canaria, Spain, 2015, pp. 334-341 more
2014
This project aims to develop novel algorithms in order to gain additional optimization potential by modeling and optimizing interrelated logistics and production processes in an integrative way.Efficient… more