Aleida Braaksma received her M.Sc. degree in Applied Mathematics from the University of Twente (UT) in 2010. Her master thesis project, for which she received multiple thesis awards, marked the start of her career in healthcare operations research. In 2015, she received the Ph.D. degree for the dissertation ‘Timely and Efficient planning of TReatments through Intelligent Scheduling’. She performed her Ph.D. project at CHOIR (Center for Healthcare Operations Improvement and Research, UT) and the Academic Medical Center (AMC) Amsterdam. Subsequently, Aleida spent two years working as a postdoctoral fellow in healthcare operations research at Massachusetts Institute of Technology (MIT) and Massachusetts General Hospital (MGH) in Boston, United States. Currently, she is an assistant professor at the Stochastic Operations Research group of the UT and within CHOIR. Her research interests are in planning and scheduling in healthcare with a specific focus on decision making under uncertainty.
# Census # Schedule # Scheduling
Engineering & Materials Science
# Nursing # Planning # Scheduling
Business & Economics
# Census # Prediction
Namakshenas, M., Mahdavi Mazdeh, M. , Braaksma, A., & Heydari, M. (2022). Appointment scheduling for medical diagnostic centers considering time-sensitive pharmaceuticals: A dynamic robust optimization approach. European journal of operational research. https://doi.org/10.1016/j.ejor.2022.06.037
Namakshenas, M. , Braaksma, A., & Mahdavi Mazdeh, M. (2022). Minimising total earliness and tardiness with periodically supplied non-renewable resource profiles. International journal of production research, 60(10), 3170-3181. https://doi.org/10.1080/00207543.2021.1912430
Boucherie, R. J. , Braaksma, A., & Tijms, H. (2021). Operations Research: Introduction to Models and Methods. World Scientific Publishing Co. Pte Ltd. https://doi.org/10.1142/12343
Braaksma, A. , Kortbeek, N. , & Boucherie, R. J. (2021). Bed Census Predictions and Nurse Staffing. In M. E. Zonderland, R. J. Boucherie, E. W. Hans, & N. Kortbeek (Eds.), Handbook of Healthcare Logistics: Bridging the Gap between Theory and Practice (pp. 151-180). (International Series in Operations Research and Management Science; Vol. 302). Springer. https://doi.org/10.1007/978-3-030-60212-3_9
Otten, M. , Bos, J. , Braaksma, A. , & Boucherie, R. J. (2021). Robust Surgery Scheduling: A Model-Based Overview. In M. E. Zonderland, R. J. Boucherie, E. W. Hans, & N. Kortbeek (Eds.), Handbook of Healthcare Logistics: Bridging the Gap between Theory and Practice (pp. 37-56). (International Series in Operations Research and Management Science; Vol. 302). Springer. https://doi.org/10.1007/978-3-030-60212-3_4
Zonderland, M. E. , Leeftink, G. , Braaksma, A. , Boucherie, R. , Hans, E. W. , & Kortbeek, N. (2021). Making an Impact on Healthcare Logistics. In Handbook of Healthcare Logistics: Bridging the Gap between Theory and Practice (pp. 1-13). (International Series in Operations Research & Management Science; Vol. 302). Springer. https://doi.org/10.1007/978-3-030-60212-3_1
Schuermans, N. P. E. (2020). Het voorspellen van de bedbezetting op snijdende en beschouwende verpleegafdelingen ter ondersteuning van het openen en sluiten van bedden. University of Twente.
Otten, M. , Braaksma, A. , & Boucherie, R. (2019). Minimizing Earliness/Tardiness costs on multiple machines with an application to surgery scheduling. Operations research for health care, 22(September), . https://doi.org/10.1016/j.orhc.2019.100194
Braaksma, A. , Kortbeek, N., Smid, K., & Sprengers, M. E. S. (2017). A reusable simulation model to evaluate the effects of walk-in for diagnostic examinations. Simulation Modelling Practice and Theory, 77, 317-337. https://doi.org/10.1016/j.simpat.2017.07.004
UT Research Information System
Courses Academic Year 2022/2023
Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.