University of Twente Student Theses
Optimising CT scanner access times through data-driven appointment scheduling
Geerts, F. (2025) Optimising CT scanner access times through data-driven appointment scheduling.
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| Abstract: | The healthcare industry is under increasing pressure due to growing demand and limited resources. Interviews with hospital staff, observation studies and data review revealed that while demand is high, the current appointment schedule does not align with the high volume of walk-in and unplanned arrivals. This mismatch leads to inefficient scanner use, increased waiting times, and high access times. With the help of discrete event simulation and simulated annealing, we came up with an appointment schedule that better aligns supply and demand. |
| Item Type: | Essay (Master) |
| Clients: | UMC Utrecht, Utrecht, The Netherlands |
| Faculty: | BMS: Behavioural, Management and Social Sciences |
| Subject: | 44 medicine, 50 technical science in general, 58 process technology, 85 business administration, organizational science |
| Programme: | Industrial Engineering and Management MSc (60029) |
| Link to this item: | https://purl.utwente.nl/essays/106389 |
| Export this item as: | BibTeX EndNote HTML Citation Reference Manager |
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