17 Publikationen

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  • [17]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2989094
    Valipour, E., et al., 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.
    PUB | DOI
     
  • [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), p 8082-8089.
    PUB | DOI
     
  • [15]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2986572
    Luhede, A., et al., 2024. The value of information in water quality monitoring and management. Ecological Economics, 219: 108128.
    PUB | DOI | WoS
     
  • [14]
    2024 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2984132
    Khanjani Shiraz, R., et al., 2024. Distributionally robust joint chance-constrained programming: Wasserstein metric and second-order moment constraints. Information Sciences, 654: 119812.
    PUB | DOI
     
  • [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. 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
     
  • [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.
    PUB | DOI | Download (ext.) | WoS
     
  • [11]
    2022 | Preprint | Veröffentlicht | PUB-ID: 2965666
    Winkelmann, D., et al., 2022. Integrated storage assignment for an e-grocery fulfilment centre: Accounting for day-of-week demand patterns . 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. pp. 134.
    PUB
     
  • [9]
    2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2962654 OA
    Eichler, T., et al., 2022. Algorithm-Based Hearing and Speech Therapy Rehabilitation after Cochlear Implantation. Brain Sciences, 12(5), p 580.
    PUB | PDF | DOI | WoS | PubMed | Europe PMC
     
  • [8]
    2022 | Preprint | Veröffentlicht | PUB-ID: 2963063
    Winkelmann, D., et al., 2022. Dynamic Stochastic Inventory Management in E-Grocery Retailing: The Value of Probabilistic Information. arXiv:2205.06572.
    PUB | DOI | arXiv
     
  • [7]
    2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2961138 OA
    Witteborg, 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.)
     
  • [6]
    2021 | Preprint | Veröffentlicht | PUB-ID: 2958572
    Römer, M., 2021. Block-Based State-Expanded Network Models for Multi-Activity Shift Scheduling. SSRN:3798667.
    PUB | DOI
     
  • [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. 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
     
  • [4]
    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2958397
    Neumann-Saavedra, B.A., et al., 2020. Integrating Resource Management in Service Network Design for Bike-Sharing Systems. Transportation Science, 54(5), p 1251-1271.
    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. 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
     
  • [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), p 597-636.
    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. 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
     

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