Reuter-Oppermann, M. ; Kühl,, N. (2021):
Artificial Intelligence for Healthcare Logistics : An Overview and a Research Agenda.
In: Artificial Intelligence and Data Mining in Healthcare, pp. 1-22, Cham, Springer International Publishing, ISBN 978-3-030-45239-1,
[Book Section]

Horstkemper, D. ; Reuter-Oppermann, M. ; Middelhoff, M. ; Widera, A. ; Hellingrath, B. (2021):
Improving Blood Supply Chain Crisis Management by Simulation-based Optimization.
In: Simulation in Produktion und Logistik, pp. 433-442, Göttingen, Cuvillier, ISBN 978-3-7369-7479-1,
[Book Section]

Letonja,, Z. ; Furian, N. ; Pan, J. ; Vössner, S. ; Reuter-Oppermann, M. (2021):
Initial assessment of the influence the influence of robustness on the weighted tardiness for a scheduling problem with high demand volatility based on a simulation model.
In: Proceedings of the 2021 Winter Simulation Conference,
Phoenix, Arizona, USA, [Conference or Workshop Item]

Matinrad, N. ; Reuter-Oppermann, M. (2021):
A Review on Initiatives for the Management of Daily Medical Emergencies Prior to the Arrival of Emergency Medical Services.
In: Central European Journal of Operations Research, Springer, DOI: 10.1007/s10100-021-00769-y,
[Article]

Reuter-Oppermann, M. ; Müller-Polyzou, R. ; Georgiadis, A. (2021):
Towards a Decision Support System for Radiotherapy Business Continuity in a Pandemic Crisis.
In: Journal of Decision Systems., Taylor & Francis, DOI: 10.1080/12460125.2021.1947946,
[Article]

Rädsch, T. ; Reuter-Oppermann, M. ; Richards, J. (2021):
Towards a Machine Learning-based Decision Support System for Dispatching Helicopters in New Zealand.
In: Proceedings of the 54th Hawaii International Conference on System Sciences,
Hawaii, 54th Hawaii International Conference on System Sciences, Hawaii, [Conference or Workshop Item]

Nickel, S. ; Steinhardt, C. ; Schlenker, H. ; Burkart, W. ; Reuter-Oppermann, M. (2020):
Angewandte Optimierung mit IBM ILOG CPLEX Optimization Studio - Modellierung von Planungs- und Entscheidungsproblemen des Operations Research mit OPL.
Heidelberg, Springer, Gabler, ISBN 978-3-662-62185-1,
[Book]

Bandlow, S. ; Reuter-Oppermann, M. ; Dax, F. (2020):
Ausweg aus der Warteschleife : Wie finden wir die Nadel im Heuhaufen?
In: BOS-LEITSTELLE AKTUELL, 2020 (4), [Article]

Reuter-Oppermann, M. (2020):
Der Einsatz von Chatbots in Leitstellen.
In: BOS-LEITSTELLE AKTUELL, 2020 (1), [Article]

Reuter-Oppermann, M. ; Wolff, C. (2020):
Enabling Customer-Centric Emergency Logistics Through Systems Thinking.
[Report]

Müller-Polyzou, R. ; Reuter-Oppermann, M. ; Engbert, A. ; Schmidt, R. (2020):
Identifying user assistance systems for radiotherapy to increase efficiency and help saving lives.
In: Health Systems, 2020 (1), pp. 1-19. [Article]

Reuter-Oppermann, M. ; Müller-Polyzou, R. ; Wirtz, H. ; Georgiadis, A. (2020):
Influence of the pandemic dissemination of COVID-19 on radiotherapy practice - A flash survey in Germany, Austria and Switzerland.
Plos one, [Report]

Reuter-Oppermann, M. ; Liebner, F. ; Lang, V. (2020):
Maschinelles Lernen und Künstliche Intelligenz in BOS-Leitstellen.
In: BOS-LEITSTELLE AKTUELL, 2020 (3), [Article]

Kluschke, P. ; Nugroho, R. ; Gnann, T. ; Plötz, P. ; Wietschel, M. ; Reuter-Oppermann, M. (2020):
Optimal development of alternative fuel station networks considering node capacity restrictions.
In: Transportation Research Part D: Transport and Environment, 78, [Article]

Reuter-Oppermann, M. ; Liebner, F. ; Lang, V.
Fachverband Leitstellen e.V. (ed.) (2020):
Positionspapier „Maschinelles Lernen und Künstliche Intelligenz in BOS-Leitstellen“.
[Report]

Reuter-Oppermann, M. ; Wolff, C. (2020):
Towards a Unified Understanding of Data-Driven Support for Emergency Medical Service Logistics.
In: Proceedings of the 53rd Hawaii International Conference on System Sciences,
Hawaii, 53rd Hawaii International Conference on System Sciences, Hawaii, [Conference or Workshop Item]