Publications

Journal articles, conference proceedings and preprints by Michael Römer.

Also on Google Scholar · ORCID · PUB – Bielefeld University

Journal articles

  1. Witteborg, A. H., Wetzel, D., Römer, M. (2026). An anticipatory multi-stage MIP approach for the Integrated Healthcare Timetabling Problem. Operations Research, Data Analytics and Logistics, in press, 200515. doi:10.1016/j.ordal.2026.200515
  2. Rudich, I., Cappart, Q., López-Ibáñez, M., Römer, M., Rousseau, L.-M. (2026). An Exact Framework for Solving the Space-Time Dependent TSP. INFORMS Journal on Computing, ahead of print. doi:10.1287/ijoc.2024.0866
  3. Winkelmann, D., Ulrich, M., Römer, M., Langrock, R., Jahnke, H. (2026). Managing inventories for perishable e-groceries: The value of probabilistic information. PLOS One 21(4): e0343935. doi:10.1371/journal.pone.0343935
  4. Hagemann, F., Porrmann, T., Römer, M. (2025). Multi-activity shift scheduling under uncertainty: The value of shift flexibility. European Journal of Operational Research 323(3), 988–998. doi:10.1016/j.ejor.2024.12.028
  5. von Enzberg, S., Weller, J., Pöhler, P., Kühn, A., Römer, M., Dumitrescu, R. (2024). Künstliche Intelligenz in der Produktionsplanung und -steuerung. Zeitschrift für wirtschaftlichen Fabrikbetrieb 119(5), 349–355. doi:10.1515/zwf-2024-1065
  6. Winkelmann, D., Tolkmitt, F. J., Ulrich, M., Römer, M. (2024). Integrated storage assignment for an e-grocery fulfilment centre: Accounting for day-of-week demand patterns. Flexible Services and Manufacturing Journal. doi:10.1007/s10696-024-09549-7
  7. 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 107: 105448. doi:10.1016/j.scs.2024.105448
  8. Luhede, A., Yaqine, H., Bahmanbijari, R., Römer, M., Upmann, T. (2024). The Value of Information in Water Quality Monitoring and Management. Ecological Economics. doi:10.1016/j.ecolecon.2024.108128
  9. 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. doi:10.1016/j.ins.2023.119812
  10. Römer, M. (2024). Block-Based State-Expanded Network Models for Multi-Activity Shift Scheduling. Journal of Scheduling 27(4), 341–361. doi:10.1007/s10951-023-00789-3
  11. Eichler, 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). doi:10.3390/brainsci12050580
  12. 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. doi:10.1287/trsc.2019.0950
  13. 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. doi:10.1007/s40685-019-00102-z

Conference proceedings (peer-reviewed)

  1. Römer, M., Bodur, M. (2026). Learning-Guided State Partitioning for Decision Diagram Relaxations in Two-Stage Robust Optimization. Accepted, Workshop Data Science meets Optimisation 2026 @ IJCAI, Bremen.
  2. Nafar, M., Römer, M., Xi, L. (2026). A Clustering-Based Variable Ordering Framework for Relaxed Decision Diagrams for Maximum Weighted Independent Set Problem. Accepted, Proceedings of the 20th Learning and Intelligent Optimization Conference (LION 20). Preprint: arXiv:2512.15198
  3. Witteborg, A., Borgstedt, R., Rehberg, S., Wetzel, D., Römer, M. (2025). Supporting ICU Admission Scheduling under Uncertainty. Proceedings of the 58th Hawaii International Conference on System Sciences (HICSS). doi:10.24251/HICSS.2025.402 (Best Paper nomination)
  4. Nafar, M., Römer, M. (2024). Strengthening Relaxed Decision Diagrams for Maximum Independent Set Problem: Novel Variable Ordering and Merge Heuristics. 30th International Conference on Principles and Practice of Constraint Programming (CP 2024), LIPIcs 307, 21:1–21:17. doi:10.4230/LIPIcs.CP.2024.21
  5. Nafar, M., Römer, M. (2024). Lookahead, Merge, and Reduce for Compiling Approximate Decision Diagrams. CPAIOR 2024, LNCS 14743, 74–82. doi:10.1007/978-3-031-60599-4_5
  6. Nafar, M., Römer, M. (2024). Using Clustering to Strengthen Decision Diagram Bounds for Discrete Optimization. Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI 2024), 8082–8089. doi:10.1609/aaai.v38i8.28647
  7. Römer, M., Hagemann, F., Porrmann, T. (2023). Predict, Tune and Optimize for Data-Driven Shift Scheduling with Uncertain Demands. LION 17, LNCS 14286. doi:10.1007/978-3-031-44505-7_18
  8. Witteborg, A., 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 (HICSS), 3699–3708. doi:10.24251/HICSS.2022.451
  9. Porrmann, T., Römer, M. (2021). Learning to Reduce State-Expanded Networks for Multi-activity Shift Scheduling. CPAIOR 2021, LNCS 12735. doi:10.1007/978-3-030-78230-6_24
  10. Schulte, J., Römer, M., Tierney, K. (2020). Cyclical Inventory Routing with Unsplittable Pick-Up and Deliveries. Computational Logistics (ICCL 2020), LNCS 12433. doi:10.1007/978-3-030-59747-4_16
  11. Römer, M., Cire, A. A., Rousseau, L.-M. (2018). A Local Search Framework for Compiling Relaxed Decision Diagrams. CPAIOR 2018, LNCS 10848, 512–520. doi:10.1007/978-3-319-93031-2_36
  12. Neumann-Saavedra, B. A., Crainic, T. G., Gendron, B., Mattfeld, D. C., Römer, M. (2016). Service Network Design of Bike Sharing Systems with Resource Constraints. Computational Logistics, LNCS 9855, 352–366. doi:10.1007/978-3-319-44896-1_23
  13. Römer, M., Mellouli, T. (2016). Future Demand Uncertainty in Personnel Scheduling: Investigating Deterministic Lookahead Policies. Proceedings of the 30th European Conference on Modelling and Simulation, 502–507. doi:10.7148/2016-0502
  14. Römer, M., Mellouli, T. (2016). A Direct MILP Approach Based on State-Expanded Network Flows and Anticipation for Multi-Stage Nurse Rostering under Uncertainty. PATAT 2016: Proceedings of the 11th International Conference of the Practice and Theory of Automated Timetabling, 549–552.
  15. Helbig, K., Römer, M., Mellouli, T. (2015). A Clinical Pathway Mining Approach to Enable Scheduling of Hospital Relocations and Treatment Services. Business Process Management (BPM), LNCS 9253, 242–250. doi:10.1007/978-3-319-23063-4_17
  16. Römer, M. (2012). Modeling with Variable Parameters: Robust and Generalized Linear Programming and their Relations. Proceedings of the International Conference on Applied Mathematical Optimization and Modelling (APMOD), 58–63.
  17. Römer, M., Mellouli, T. (2012). Pairing Optimization for Hierarchical Airline Crews. Conference on Advanced Systems for Public Transport (CASPT 12), Santiago de Chile.
  18. Römer, M., Mellouli, T. (2011). Handling Rest Requirements and Preassigned Activities in Airline Crew Pairing Optimization. Network Optimization, LNCS 6701, 643–656. doi:10.1007/978-3-642-21527-8_72
  19. Römer, M., Mellouli, T. (2010). Integrating Medium and Short Term Decisions in Airline Crew Planning. Seventh Triennial Symposium on Transportation Analysis (TRISTAN VII), Tromsø, 353–356.

Preprints and working papers

  • Hottung, A., Berto, F., Hua, C., Gast Zepeda, M., Wetzel, D., Römer, M., Ye, H., Zago, D., Poli, M., Massaroli, S., Park, J., Tierney, K. VRPAgent: LLM-Driven Discovery of Heuristic Operators for Vehicle Routing Problems. arXiv:2510.07073
  • Post, T., Römer, M., Khanjani-Shiraz, R. (2025). Strengthening Environmental Trade-off Analysis using Socio-economic Weight Restrictions. SSRN working paper 5184847. doi:10.2139/ssrn.5184847
  • Römer, M. (2015). Von Piloten und Pflegekräften – Die Second International Nurse Rostering Competition. OR News 55, 6–10.
  • Römer, M. (2015). Case Studies in Medium- and Short-Term Airline Crew Planning: Establishing Consistency in Optimization Approaches. Diskussionsbeiträge zu Wirtschaftsinformatik und Operations Research Nr. 36, MLU Halle-Wittenberg.
  • Römer, M. (2015). Optimization in Airline Crew Planning and Scheduling: State of the Art and Generic Network Flow-Based Approaches. Diskussionsbeiträge zu Wirtschaftsinformatik und Operations Research Nr. 35, MLU Halle-Wittenberg.
  • Römer, M. (2015). Airline Crew Planning Processes: A Hierarchical Planning Perspective. Diskussionsbeiträge zu Wirtschaftsinformatik und Operations Research Nr. 34, MLU Halle-Wittenberg.
  • Römer, M. (2010). Von der Komplexmethode zur Robusten Optimierung und zurück. In: Steglich, M., Mellouli, T. (eds.): Beiträge zum Festkolloquium „Angewandte Optimierung”, Diskussionsbeiträge zu Wirtschaftsinformatik und Operations Research Nr. 23, 38–61.