Prof. Dr. Stephan Meisel

Prof. Dr. Stephan Meisel

Leonardo-Campus 3
48149 Münster

  • Forschungsschwerpunkte

    • Entscheidungsunterstützung in Energiesystemen und in der Logistik
    • Simulationsbasierte Optimierung
    • Bewirtschaftung von Energiespeichern
    • Ökonomisch Effiziente Elektromobilität
    • Dynamische Tourenplanung

  • Vita

    Akademische Ausbildung

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

    Beruflicher Werdegang

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

  • Publikationen

    • Merfeld T, Meisel S. . ‘The Role and Value of Service Orchestration in Smart Grid Prosumer Service Systems.’ In ECIS 2022 Research Papers, edited by Beck, Roman; Petcu, Dana; Fotache, Marin, 1–16. Atlanta, GA: Association for Information Systems.
    • Merfeld T, Meisel S. . ‘Economic real-time energy trading services for electric vehicles with uncertain mobility demand.’ Journal of Cleaner Production 340, Nr. 130639. doi: 10.1016/j.jclepro.2022.130639.
    • Wölck M, Meisel S. . ‘Branch-and-Price Approaches for Real-Time Vehicle Routing with Picking, Loading, and Soft Time Windows.’ INFORMS Journal on Computing 34, Nr. 4: 2192–2211. doi: 10.1287/ijoc.2021.1151.
    • Meisel S, Merfeld T. . ‘Assessing the Financial Value of Real-Time Energy Trading Services for Privately Owned Non-Commercial Electric Vehicles.’ Transportation Research Part D: Transport and Environment 80.
    • Priekule L, Meisel S. . ‘Lookahead Contraction Policies for Bayesian Ranking and Selection with Pairwise Comparisons (Best Contributed Theory Paper Finalist).’ In Proceedings of the 2019 Winter Simulation Conference, edited by Mustafee N, Bae K-HG, Lazarova-Molnar S, Rabe M, Szabo C, Haas P, Son Y-J, 3380–3391. New York City: Wiley-IEEE Press.
    • Meisel S. . ‘All Dynamic Decision Problems are Created with Equal Structure.’ In The Art of Structuring, edited by Bergener K, Räckers M, Stein A, 113–123. Düsseldorf: Springer VDI Verlag.
    • Bossek Jakob, Grimme Christian, Meisel Stephan, Rudolph Günter, Trautmann Heike. . ‘Bi-Objective Orienteering: Towards a Dynamic Multi-Objective Evolutionary Algorithm.’ In Evolutionary Multi-Criterion Optimization (EMO), edited by Deb Kalyanmoy, Goodman Erik, Coello Coello Carlos A., Klamroth Kathrin, Miettinen Kaisa, Mostaghim Sanaz, Reed Patrick, 516–528. Basel : Springer International Publishing. doi: 10.1007/978-3-030-12598-1_41.
    • Ball R, Branke J, Meisel S. . ‘Optimal Sampling for Simulated Annealing under Noise.’ INFORMS Journal on Computing 30, Nr. 1: 200–215.
    • Meisel S, Merfeld T. . ‘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.
    • Bossek Jakob, Grimme Christian, Meisel Stephan, Rudolph Guenter, Trautmann Heike. . ‘Local Search Effects in Bi-Objective Orienteering.’ In Proceedings of the Genetic and Evolutionary Computation Conference, 585–592. New York, NY: ACM Press. doi: 10.1145/3205455.3205548.
    • Meisel S, Powell W. . ‘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. Düsseldorf: Springer VDI Verlag.
    • Priekule L, Meisel S. . ‘A Bayesian Ranking and Selection Problem with Pairwise Comparisons.’ In Proceedings of the 2017 Winter Simulation Conference, edited by Chan V, D'Ambrogio A, Zacharewicz G, Mustafee N, 2149–2160. New York City: Wiley-IEEE Press.
    • Collado Ricardo, Meisel Stephan, Priekule Laura. . ‘Risk-Averse Stochastic Path Detection.’ European Journal of Operational Research 260, Nr. 1: 195–211. doi: 10.1016/j.ejor.2016.12.002.
    • Powell Warren, Meisel Stephan. . ‘Tutorial on Stochastic Optimization in Energy II: An Energy Storage Illustration.’ IEEE Transactions on Power Systems 31, Nr. 2: 1468–1475.
    • Powell Warren, Meisel Stephan. . ‘Tutorial on Stochastic Optimization in Energy I: Modeling and Policies.’ IEEE Transactions on Power Systems 31, Nr. 2: 1459–1467.
    • Meisel Stephan, Merfeld Tanja. . ‘Efficient use of Renewable Energy with Storage and E-mobility Service.’ Contributed to the Karlsruhe Service Summit Research Workshop 2016, Karlsruhe, Deutschland.
    • Meisel Stephan. . „Approximate Dynamic Programming.“ In Enzyklopädie der Wirtschaftsinformatik, herausgegeben von Gronau N, Becker J, Sinz, E, Suhl L, Leimeister J-M, NN. Berlin: GITO-Verlag.
    • Meisel S. . „Antizipierende Optimierung.“ WISU Das Wirtschaftsstudium 8-9/15.
    • Meisel Stephan, Grimme Christian, Bossek Jakob, Wölck Martin, Rudolph Guenter, Trautmann Heike. . ‘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. . ‘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. . ‘Multi-Objective Analysis of Approaches to Dynamic Routing Of a Vehicle.’ Contributed to the European Conference On Information Systems, Münster, Germany.
    • Ricker V, Meisel S, Mattfeld D. . „Optimierung von stationsbasierten Bike-Sharing Systemen .“ Beitrag präsentiert auf der Multikonferenz Wirtschaftsinformatik 2012, Braunschweig.
    • Ehmke J, Meisel S, Mattfeld D. . ‘Floating Car Based Travel Times for City Logistics.’ Transportation Research Part C: Emerging Technologies 21, Nr. 1: 338–352.
    • Suppa U, Meisel S, Mattfeld D. . ‘GRASP based Vehicle Routing for After Sales Services.’ In Proceedings of 9th Metaheuristic International Conference.
    • Suppa U, Meisel S, Mattfeld D. . „Flottenmanagement für Vor-Ort-Kundendienste .“ In Logistik – Gestern, heute, morgen, herausgegeben von Siepermann C, Eley M, 107–122.
    • Meisel S, Suppa U, Mattfeld D. . ‘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. Düsseldorf: Springer VDI Verlag.
    • Meisel Stephan. . Anticipatory Optimization for Dynamic Decision Making. Düsseldorf: Springer VDI Verlag.
    • Ehmke J, Meisel S, Mattfeld D. . ‘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. Düsseldorf: Springer VDI Verlag.
    • Meisel S, Mattfeld D. . ‘Synergies of Operations Research and Data Mining.’ European Journal of Operational Research 206, Nr. 1: 1–10.
    • Meisel S, Suppa U, Mattfeld D. . ‘GRASP based Approximate Dynamic Programming for Dynamic Routing of a Vehicle .’ In Proceedings of VIII Metaheuristic International Conference.
    • Meisel S, Suppa U, Mattfeld D. . ‘Serving Multiple Urban Areas with Stochastic Customer Requests.’ In Proceedings of International Conference on Dynamics in Logistics 2009.
    • Meisel S, Suppa U, Mattfeld D. . ‘GRASP based Approximate Dynamic Programming for Dynamic Routing of a Vehicle.’ In MIC 2009 Post-Conference Volume, edited by Voss Stefan, Caserta Marco, 1–9. Düsseldorf: Springer VDI Verlag. [online first]
    • Ehmke J, Meisel S, Engelmann S, Mattfeld D. . ‘Data Chain Management for Planning in City Logistics.’ International Journal of Data Mining, Modelling and Management 1, Nr. 4: 335–356.
    • Ehmke J, Meisel S, Mattfeld D. . ‘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.
    • Ehmke J, Meisel S. . „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. . „Charakterisierung des städtischen Straßenverkehrs mit Floating Car Data und Data Mining.“ Straßenverkehrstechnik 52, Nr. 10: 613–620.
    • Branke J, Meisel S, Schmidt C. . ‘Simulated Annealing in the Presence of Noise .’ Journal of Heuristics 14, Nr. 6: 627–654.
    • Meisel S, Mattfeld D. . ‘Synergies of Data Mining and Operations Research.’ Contributed to the HICCS 40, Hawaii.
    • Meisel S, Mattfeld D. . ‘Integration of Data Mining and Operations Research.’ In Encyclopedia of Data Warehousing and Mining, edited by Wang John, 1046–1052. 2. Aufl. .