Dr. Thijs Urlings

Thijs Urlings is an Assistant Professor and Researcher at the section Innovation and Public Sector Efficiency within the faculty of Technology, Policy and Management of Delft University of Technology. He concentrates on the sectors Police & Justice, and Education. Currently, he is the project leader of Benchmarking and competition: productivity and effectiveness of police corpses.

Thijs finished the doctorate program Statistics and Optimisation in the Universidad Politécnica de Valencia, where he obtained the cum laude distinction and the title of European Ph.D. His research consisted in the application of advanced algorithms for solving highly realistic machine scheduling problems. The resulting thesis is a contribution on closing the gap between theory and practice in this field. The Universidad Politécnica de Valencia awarded him with the price Premio Extraordinario de Tesis Doctoral. During his Ph.D., Thijs worked for the research group Sistemas de Optimisación Aplicada of the ITI. A part of his research was established as a guest researcher in IRIDIA, research institute of the Université Libre de Bruxelles.

Earlier, he received his Master's in Maastricht University, where he studied Econometrics & Operational Research. He spent four months of his studies at Université Toulouse1.

• Does bureaucracy in secondary education increase with time and average school size? A time series and cross sectional analysis (2011). J.L.T. Blank, B.L. van Hulst and T. Urlings. Bildung und Erziehung, 64(3).
• Shifting representation search for hybrid flexible flowline problems (2010). T.Urlings, R.Ruiz and T.Stützle. European Journal of Operational Research, 207(2):1086-1095.
• Genetic algorithms with different representation schemes for complex hybrid flexible flow line problems (2010). T.Urlings, R.Ruiz and F.Sivrikaya Serifoglu. International Journal of Metaheuristics, 1(1):30-54.
• Modeling realistic hybrid flexible flowshop scheduling problems (2008). R.Ruiz, F.Sivrikaya Serifoglu and T.Urlings. Computers & Operations Research, 35(4):1151-1175. 

• Veiligheid verkend: een empirisch onderzoek naar de determinanten van veiligheid (2011). T.H.Urlings and J.L.T.Blank. IPSE Studies Research Reeks, Delft.
• Heuristics and Metaheuristics for heavily constrained hybrid Flowshop Problems (2011). T.H.Urlings. Akademische Verlagsgesellschaft AKA GmbH, Heidelberg. 

• Measuring effectiveness by stochastic frontier analysis: an application to public safety in the Netherlands (2011). J.L.T. Blank, B.L. van Hulst and T. Urlings. XII European Workshop on Efficiency and Productivity Analysis.
• Increasing efficiency in public transport maintenance: multi-criteria optimisation of a hybrid flowshop (2011). T. Urlings, G. Minella and R. Ruiz. IX Metaheuristics International Conference.
• Optimización multi-objetivo para problemas de flowshop híbrido (2010). T.Urlings, G.Minella and R.Ruiz. XXXII Congreso Nacional de Estadística e Investigación Operativa. In Spanish.
• Bi-objective Pareto optimization for the hybrid flowshop problem (2010). T.Urlings, G.Minella and R.Ruiz. 12th International Conference on Project Management and Scheduling.
• A new algorithm with shifting representation for hybrid flowline problems (2009). T.Urlings and R.Ruiz. 23rd European Conference on Operational Research.
• New algorithms for the unrelated parallel machine problem (2009). R.Ruiz, L.Fanjul Peyró and T.Urlings. 23rd European Conference on Operational Research.
• A new algorithm for multidimensional scheduling problems (2009). T.Urlings and R.Ruiz. 9th Workshop on Models and Algorithms for Planning and Scheduling Problems.
• Búsqueda local avanzada para talleres de flujo híbridos altamente restringidos (2009). T.Urlings and R.Ruiz. XXXI Congreso Nacional de Estadística e Investigación Operativa. In Spanish.
• Local search engineering for highly constrained hybrid flow line problems (2008). T.Urlings and R.Ruiz. Proceedings of the Eleventh International Workshop on Project Management and Scheduling.
• Genetic algorithms for complex hybrid flexible flow line problems (2007). T.Urlings, R.Ruiz and F.Sivrikaya Serifoglu. 4th Edition Operational Research Peripatetic Postgraduate Program.
• Local search in complex scheduling problems (2007). T.Urlings and R.Ruiz. Proceedings of the first International Workshop on Engineering Stochastic Local Search Algorithms, vol. 4638 of Lecture Notes in Computer Science.
• Genetic algorithms for complex hybrid flexible flow line problems (2007). T.Urlings, R.Ruiz and F.Sivrikaya Serifoglu. 8th Workshop on Models and Algorithms for Planning and Scheduling Problems.