17 Publikationen
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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. In M. Sellmann & K. Tierney, eds. Learning and Intelligent Optimization. 17th International Conference, LION 17, Nice, France, June 4–8, 2023, Revised Selected Papers. Lecture Notes in Computer Science. Cham: Springer International Publishing, pp. 254-269.PUB | DOI
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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.PUB | DOI | Download (ext.) | WoS
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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, ed. OR64: Annual Conference of the OR Society. Abstracts Book. pp. 134.PUB
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2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2961138Witteborg, A.H., et al., 2022. Monte-Carlo Simulation Based on Patient-Individual Distributions for Supporting Intensive Care Occupancy Management. In Proceedings of the 55th Hawaii International Conference on System Sciences. Honolulu: University of Hawai'i at Manoa, Hamilton Library.PUB | PDF | DOI | Download (ext.)
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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. In P. J. Stuckey, ed. Integration of Constraint Programming, Artificial Intelligence, and Operations Research. 18th International Conference, CPAIOR 2021, Vienna, Austria, July 5–8, 2021, Proceedings. Lecture Notes in Computer Science. no.12735 Cham: Springer International Publishing, pp. 383-391.PUB | DOI
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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. In E. Lalla-Ruiz, M. Mes, & S. Voß, eds. Computational Logistics. 11th International Conference, ICCL 2020, Enschede, The Netherlands, September 28–30, 2020, Proceedings. Lecture Notes in Computer Science. Cham: Springer International Publishing, pp. 246-260.PUB | DOI
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2018 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2958573Römer, M., 2018. A Local Search Framework for Compiling Relaxed Decision Diagrams. In W. - J. van Hoeve, ed. Integration of Constraint Programming, Artificial Intelligence, and Operations Research. Lecture Notes in Computer Science. no.10848 Cham: Springer International Publishing, pp. 512-520.PUB | DOI