PUB - Publikationen an der Universität Bielefeld

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• [17]
  

  2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2989094

  Valipour, 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. https://doi.org/10.1016/j.scs.2024.105448

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• [16]
  

  2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2988586

  Nafar, 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. https://doi.org/10.1609/aaai.v38i8.28647

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• [15]
  

  2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2986572

  Luhede, A., Yaqine, H., Bahmanbijari, R., Römer, M., & Upmann, T. (2024). The value of information in water quality monitoring and management. Ecological Economics, 219, 108128. https://doi.org/10.1016/j.ecolecon.2024.108128

  PUB | DOI | WoS
   
• [14]
  

  2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2984132

  Khanjani 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. https://doi.org/10.1016/j.ins.2023.119812

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• [13]
  

  2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2984133

  Römer, M., Hagemann, F., & Porrmann, T. (2023). Predict, Tune and Optimize for Data-Driven Shift Scheduling with Uncertain Demands. In M. Sellmann & K. Tierney (Eds.), Lecture Notes in Computer Science. Learning and Intelligent Optimization. 17th International Conference, LION 17, Nice, France, June 4–8, 2023, Revised Selected Papers (pp. 254-269). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-031-44505-7_18

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• [12]
  

  2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2981218

  Römer, M. (2023). Block-based state-expanded network models for multi-activity shift scheduling. Journal of Scheduling. https://doi.org/10.1007/s10951-023-00789-3

  PUB | DOI | Download (ext.) | WoS
   
• [11]
  

  2022 | Preprint | Veröffentlicht | PUB-ID: 2965666

  Winkelmann, D., Tolkmitt, F. J., Ulrich, M., & Römer, M. (2022). Integrated storage assignment for an e-grocery fulfilment centre: Accounting for day-of-week demand patterns . arXiv:2209.03998. https://doi.org/10.48550/ARXIV.2209.03998

  PUB | DOI | arXiv
   
• [10]
  

  2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2966016

  Winkelmann, 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 (p. 134).

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• [9]
  

  2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2962654

  Eichler, T., Rötz, W., Kayser, C., Bröhl, F., Römer, M., Witteborg, A. H., Kummert, F., et al. (2022). Algorithm-Based Hearing and Speech Therapy Rehabilitation after Cochlear Implantation. Brain Sciences, 12(5), 580. https://doi.org/10.3390/brainsci12050580

  PUB | PDF | DOI | WoS | PubMed | Europe PMC
   
• [8]
  

  2022 | Preprint | Veröffentlicht | PUB-ID: 2963063

  Winkelmann, D., Ulrich, M., Römer, M., Langrock, R., & Jahnke, H. (2022). Dynamic Stochastic Inventory Management in E-Grocery Retailing: The Value of Probabilistic Information. arXiv:2205.06572. https://doi.org/10.48550/ARXIV.2205.06572

  PUB | DOI | arXiv
   
• [7]
  

  2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2961138

  Witteborg, 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 Honolulu: University of Hawai'i at Manoa, Hamilton Library. https://doi.org/10.24251/HICSS.2022.451

  PUB | PDF | DOI | Download (ext.)
   
• [6]
  

  2021 | Preprint | Veröffentlicht | PUB-ID: 2958572

  Römer, M. (2021). Block-Based State-Expanded Network Models for Multi-Activity Shift Scheduling. SSRN:3798667. https://doi.org/10.2139/ssrn.3798667

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• [5]
  

  2021 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2958571

  Porrmann, T., & Römer, M. (2021). Learning to Reduce State-Expanded Networks for Multi-activity Shift Scheduling. In P. J. Stuckey (Ed.), Lecture Notes in Computer Science: Vol. 12735. Integration of Constraint Programming, Artificial Intelligence, and Operations Research. 18th International Conference, CPAIOR 2021, Vienna, Austria, July 5–8, 2021, Proceedings (pp. 383-391). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-78230-6_24

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• [4]
  

  2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2958397

  Neumann-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. https://doi.org/10.1287/trsc.2019.0950

  PUB | DOI | WoS
   
• [3]
  

  2020 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2958261

  Schulte, J., Römer, M., & Tierney, K. (2020). Cyclical Inventory Routing with Unsplittable Pick-Up and Deliveries. In E. Lalla-Ruiz, M. Mes, & S. Voß (Eds.), Lecture Notes in Computer Science. Computational Logistics. 11th International Conference, ICCL 2020, Enschede, The Netherlands, September 28–30, 2020, Proceedings (pp. 246-260). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-59747-4_16

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• [2]
  

  2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2958398

  Schwarz, 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. https://doi.org/10.1007/s40685-019-00102-z

  PUB | DOI
   
• [1]
  

  2018 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2958573

  Römer, M. (2018). A Local Search Framework for Compiling Relaxed Decision Diagrams. In W. - J. van Hoeve (Ed.), Lecture Notes in Computer Science: Vol. 10848. Integration of Constraint Programming, Artificial Intelligence, and Operations Research (pp. 512-520). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-93031-2_36

  PUB | DOI