17 Publikationen
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2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2989094Valipour, E., Babapour-Azar, A., Nourollahi, R., Khanjani-Shiraz, R. & Römer, M. (2024). Risk-driven optimal scheduling of renewable-oriented energy hub under demand response program and energy storages: A novel Entropic value-at-risk modeling. Sustainable Cities and Society: 105448. Elsevier BV. doi:10.1016/j.scs.2024.105448.
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2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2988586Nafar, M. & Römer, M. (2024). Using Clustering to Strengthen Decision Diagram Bounds for Discrete Optimization. Proceedings of the AAAI Conference on Artificial Intelligence, 38(8), 8082-8089. Association for the Advancement of Artificial Intelligence (AAAI). doi:10.1609/aaai.v38i8.28647.
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2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2986572Luhede, A., Yaqine, H., Bahmanbijari, R., Römer, M. & Upmann, T. (2024). The value of information in water quality monitoring and management. Ecological Economics, 219: 108128. Elsevier . doi:10.1016/j.ecolecon.2024.108128.
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2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2984132Khanjani Shiraz, R., Hosseini Nodeh, Z., Babapour-Azar, A., Römer, M. & Pardalos, P.M. (2024). Distributionally robust joint chance-constrained programming: Wasserstein metric and second-order moment constraints. Information Sciences, 654: 119812. Elsevier BV. doi:10.1016/j.ins.2023.119812.
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2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2984133Römer, M., Hagemann, F. & Porrmann, T. (2023). Predict, Tune and Optimize for Data-Driven Shift Scheduling with Uncertain Demands (Lecture Notes in Computer Science). In M. Sellmann & K. Tierney (Hrsg.), Learning and Intelligent Optimization. 17th International Conference, LION 17, Nice, France, June 4–8, 2023, Revised Selected Papers (S. 254-269). Cham: Springer International Publishing. doi:10.1007/978-3-031-44505-7_18.
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2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2981218Römer, M. (2023). Block-based state-expanded network models for multi-activity shift scheduling. Journal of Scheduling. Springer . doi:10.1007/s10951-023-00789-3.
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2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2966016Winkelmann, D. & Römer, M. (2022). Storage Location Assignment with Varying Demand Patterns: An E-Grocery Retailing Business Case. In The Operational Research Society (Hrsg.), OR64: Annual Conference of the OR Society. Abstracts Book (S. 134). Gehalten auf der 64th Annual Conference of the OR Society.
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2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2962654Eichler, T., Rötz, W., Kayser, C., Bröhl, F., Römer, M., Witteborg, A.H., Kummert, F., Sandmeier, T., Schulte, C., Stolz, P., Meyer, K., Sudhoff, H. & Todt, I. (2022). Algorithm-Based Hearing and Speech Therapy Rehabilitation after Cochlear Implantation. Brain Sciences, 12(5), 580. MDPI. doi:10.3390/brainsci12050580.
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2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2961138Witteborg, A.H., Borgstedt, R., Günther, M., Jansen, G. & Römer, M. (2022). Monte-Carlo Simulation Based on Patient-Individual Distributions for Supporting Intensive Care Occupancy Management. Proceedings of the 55th Hawaii International Conference on System Sciences. Gehalten auf der Hawaii International Conference on System Sciences, Honolulu: University of Hawai'i at Manoa, Hamilton Library. doi:10.24251/HICSS.2022.451.
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2021 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2958571Porrmann, T. & Römer, M. (2021). Learning to Reduce State-Expanded Networks for Multi-activity Shift Scheduling (Lecture Notes in Computer Science). In P.J. Stuckey (Hrsg.), Integration of Constraint Programming, Artificial Intelligence, and Operations Research. 18th International Conference, CPAIOR 2021, Vienna, Austria, July 5–8, 2021, Proceedings (S. 383-391). Cham: Springer International Publishing. doi:10.1007/978-3-030-78230-6_24.
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2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2958397Neumann-Saavedra, B.A., Crainic, T.G., Gendron, B., Mattfeld, D.C. & Römer, M. (2020). Integrating Resource Management in Service Network Design for Bike-Sharing Systems. Transportation Science, 54(5), 1251-1271. Institute for Operations Research and the Management Sciences (INFORMS). doi:10.1287/trsc.2019.0950.
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2020 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2958261Schulte, J., Römer, M. & Tierney, K. (2020). Cyclical Inventory Routing with Unsplittable Pick-Up and Deliveries (Lecture Notes in Computer Science). In E. Lalla-Ruiz, M. Mes & S. Voß (Hrsg.), Computational Logistics. 11th International Conference, ICCL 2020, Enschede, The Netherlands, September 28–30, 2020, Proceedings (S. 246-260). Cham: Springer International Publishing. doi:10.1007/978-3-030-59747-4_16.
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2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2958398Schwarz, K., Römer, M. & Mellouli, T. (2019). A data-driven hierarchical MILP approach for scheduling clinical pathways: a real-world case study from a German university hospital. Business Research, 12(2), 597-636. Springer Science and Business Media LLC. doi:10.1007/s40685-019-00102-z.
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2018 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2958573Römer, M. (2018). A Local Search Framework for Compiling Relaxed Decision Diagrams (Lecture Notes in Computer Science). In W.-J. van Hoeve (Hrsg.), Integration of Constraint Programming, Artificial Intelligence, and Operations Research (S. 512-520). Cham: Springer International Publishing. doi:10.1007/978-3-319-93031-2_36.