Prof. Dr. Stephan Meisel

Kontakt

Portrait
Juniorprofessur für Wirtschaftsinformatik, insb. Quantitative Methoden in der LogistikLeonardo-Campus 3
Raum 302
48149 Münster
Tel: +49 251 83-38040
Fax: +49 251 83-38009

Forschungsschwerpunkte

  • Dynamisches Entscheiden in Energiesystemen und in der Logistik
  • Entscheiden unter Unsicherheit
  • Simulationsbasierte Optimierung
  • Computational Stochastic Optimization

Vita

Akademische Ausbildung

2010Promotion zum Dr. rer. pol., Universität Braunschweig
2004Diplom-Informationswirt, Universität Karlsruhe

Beruflicher Werdegang

seit 06/2013Juniorprofessor für Wirtschaftsinformatik, insbes. Quantitative Methoden in der Logistik an der Universität Münster
2012 - 2013DFG-Forschungsstipendiat am Department of Operations Research and Financial Engineering, Princeton University
2010 - 2012Akademischer Rat am Institut für Wirtschaftsinformatik der Universität Braunschweig
2004 - 2010Wissenschaftlicher Mitarbeiter am Institut für Wirtschaftsinformatik der Universität Braunschweig

Publikationen

  • Bossek Jakob, Grimme Christian, Meisel Stephan, Rudolph Günter, Trautmann Heike. 2019. ‘Bi-Objective Orienteering: Towards a Dynamic Multi-Objective Evolutionary Algorithm.’Contributed to the Proceedings of the 10th International Conference on Evolutionary Multi-Criterion Optimization (EMO), East Lansing, Michigan, USA. [Akzeptiert]
  • Ball R, Branke J, Meisel S. 2018. ‘Optimal Sampling for Simulated Annealing under Noise.’ INFORMS Journal on Computing 30, Nr. 1: 200-215.
  • Bossek Jakob, Grimme Christian, Meisel Stephan, Rudolph Guenter, Trautmann Heike. 2018. ‘Local Search Effects in Bi-Objective Orienteering.’Contributed to the Genetic and Evolutionary Computation Conference (GECCO '18), Kyoto, Japan. [Akzeptiert]
  • Meisel S, Merfeld T. 2018. ‘Economic Incentives for the Adoption of Electric Vehicles: A Classification and Review of E-Vehicle Services.’ Transportation Research Part D: Transport and Environment 2018, Nr. 65: 264-287. doi: 10.1016/j.trd.2018.08.014.
  • Collado Ricardo, Meisel Stephan, Priekule Laura. 2017. ‘Risk-Averse Stochastic Path Detection.’ European Journal of Operational Research 260, Nr. 1: 195-211.
  • Meisel S, Powell W. 2017. ‘Dynamic Decision Making in Energy Systems with Storage and Renewable Energy Sources.’ In Advances in Energy System Optimization, edited by Fichtner W, Heuveline V, Leibfried T, 87-101.: Springer.
  • Priekule L, Meisel S. 2017. ‘A Bayesian Ranking and Selection Problem with Pairwise Comparisons.’Contributed to the Winter Simulation Conference 2017, Las Vegas, NV. [Akzeptiert]
  • Meisel Stephan, Merfeld Tanja. 2016. ‘Efficient use of Renewable Energy with Storage and E-mobility Service.’Contributed to the Karlsruhe Service Summit Research Workshop 2016, Karlsruhe, Deutschland.
  • Powell Warren, Meisel Stephan. 2016. ‘Tutorial on Stochastic Optimization in Energy I: Modeling and Policies.’ IEEE Transactions on Power Systems 31, Nr. 2: 1459-1467.
  • Meisel Stephan. 2016. „Approximate Dynamic Programming.“ In Enzyklopädie der Wirtschaftsinformatik, herausgegeben von Gronau N, Becker J, Sinz, E, Suhl L, Leimeister J-M, NN.: GITO Verlag.
  • Powell Warren, Meisel Stephan. 2016. ‘Tutorial on Stochastic Optimization in Energy II: An Energy Storage Illustration.’ IEEE Transactions on Power Systems 31, Nr. 2: 1468-1475.
  • Meisel Stephan, Grimme Christian, Bossek Jakob, Wölck Martin, Rudolph Guenter, Trautmann Heike. 2015. ‘Evaluation of a Multi-Objective EA on Benchmark Instances for Dynamic Routing of a Vehicle.’ In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '15), 425-432. doi: 10.1145/2739480.2754705.
  • Meisel Stephan, Wölck Martin. 2015. ‘Evaluating Idle Time Policies for Real-Time Routing of a Service Vehicle.’Contributed to the 23rd European Conference on Information Systems, Münster, Deutschland.
  • Grimme C, Meisel S, Trautmann H, Rudolph G, Wölck M. 2015. ‘Multi-Objective Analysis of Approaches to Dynamic Routing Of a Vehicle.’Contributed to the European Conference On Information Systems, Münster, Germany.
  • Meisel S. 2015. „Antizipierende Optimierung.“ WISU - Das Wirtschaftsstudium 8-9/15.
  • Ehmke J, Meisel S, Mattfeld D. 2012. ‘Floating Car Based Travel Times for City Logistics.’ Transportation Research Part C: Emerging Technologies 21, Nr. 1: 338-352.
  • Ricker V, Meisel S, Mattfeld D. 2012. „Optimierung von stationsbasierten Bike-Sharing Systemen.“Beitrag präsentiert auf der Multikonferenz Wirtschaftsinformatik 2012, Braunschweig.
  • Meisel S, Suppa U, Mattfeld D. 2011. ‘Serving Multiple Urban Areas with Stochastic Customer Requests.’ In Dynamics in Logistics, edited by Kreowski H-J, Scholz-Reiter B, Thoben K-D, 59-68.: Springer Verlag.
  • Suppa U, Meisel S, Mattfeld D. 2011. ‘GRASP based Vehicle Routing for After Sales Services.’ In Proceedings of 9th Metaheuristic International Conference.
  • Meisel Stephan. 2011. Anticipatory Optimization for Dynamic Decision Making. New York: Springer.
  • Meisel S, Mattfeld D. 2010. ‘Synergies of Operations Research and Data Mining.’ European Journal of Operational Research 206, Nr. 1: 1-10.
  • Ehmke J, Meisel S, Mattfeld D. 2010. ‘Floating Car Data Based Analysis of Urban Travel Times for the Provision of Traffic Quality.’ In Traffic Data Collection and its Standardization, edited by Barceló J, Kuwahara M, 129-150. New York: Springer Verlag.
  • Ehmke J, Meisel S, Engelmann S, Mattfeld D. 2009. ‘Data Chain Management for Planning in City Logistics.’ International Journal of Data Mining, Modelling and Management 1, Nr. 4: 335-356.
  • Meisel S, Suppa U, Mattfeld D. 2009. ‘Serving Multiple Urban Areas with Stochastic Customer Requests.’ In Proceedings of International Conference on Dynamics in Logistics 2009.
  • Meisel S, Suppa U, Mattfeld D. 2009. ‘GRASP based Approximate Dynamic Programming for Dynamic Routing of a Vehicle.’ In Proceedings of VIII Metaheuristic International Conference.
  • Branke J, Meisel S, Schmidt C. 2008. ‘Simulated Annealing in the Presence of Noise.’ Journal of Heuristics 14, Nr. 6: 627-654.
  • Ehmke J, Meisel S. 2008. „Charakterisierung des städtischen Straßenverkehrs mit Floating Car Data und Data Mining.“ Straßenverkehrstechnik 52, Nr. 10: 613-620.
  • Ehmke J, Meisel S. 2008. „Ermittlung dynamischer Fahrzeiten für die City-Logistik.“ In Informations- und Kommunikationssysteme in Supply Chain Management, Logistik und Transport, herausgegeben von Mattfeld D, Voss S, Suhl L, Günther H-O, 107-122. Paderborn.
  • Ehmke J, Meisel S, Mattfeld D. 2008. ‘Floating Car Data Based Analysis of Urban Travel Times for the Provision of Traffic Quality.’Contributed to the International Workshop on Traffic Data Collection and its Standardization IWTDCS 08, Barcelona.
  • Meisel S, Mattfeld D. 2007. ‘Synergies of Data Mining and Operations Research.’Contributed to the HICCS 40, Hawaii.
  • Meisel S, Mattfeld D. 2007. ‘Integration of Data Mining and Operations Research.’ In Encyclopedia of Data Warehousing and Mining, edited by Wang John, 1046-1052. 2. Aufl. .


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