Analyzing behavior and applicability of an optimization model: A simulation study for sequence dependent scheduling of surgeries
Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Context. With the proportional increase in the population of elderly people, there is an increase in the need for providing quality health-care. Operating room planning is one aspect that is considered to meet the requirement of providing quality health care. Operatingroom planning concerns about the efficient management of the available resources to perform surgeries. It deals with allocation and assignment of surgeries to operating rooms in a sequential manner using resource optimization strategies to manage with the available operating rooms.
Objectives. In this thesis, we investigate the behavior and applicabilityof an optimization model and measure the degree to which the model can efficiently utilize the available hospital resources.
Methods. Simulations are conducted to test the impact of implemented model on turnover time. The experiment is conducted on three different scenarios using the real world data collected from Blekinge hospital.
Results. The impact on the turnover time measured for the three different scenarios is evaluated using simulation experiment. The relationship between the scenarios is identified by comparing the results with a baseline scenario (real world schedule).
Conclusions. Based on the analysis, we conclude that the new optimization model is capable of scheduling better than the existing scheduling system used by the hospitals. The observations show that optimization model significantly reduces the turnover time compared to the real schedule. Besides, the scenario using an additional resourceis found to have better performance compared to other scenarios. The thesis concludes by showcasing the performance and applicability of the optimization model.
Place, publisher, year, edition, pages
2016. , 49 p.
Scheduling, Turnover time, Operating rooms, Healthcare, Optimization.
IdentifiersURN: urn:nbn:se:bth-11721OAI: oai:DiVA.org:bth-11721DiVA: diva2:911883
Subject / course
DV2566 Master's Thesis (120 credits) in Computer Science
DVAXA Master of Science Programme in Computer Science
2016-01-25, J1640, Blekinge Tekniska Hogskolan Block J, karlskrona, 19:46 (English)
Persson, Marie, Universitetslektor
Boldt, Martin, Universitetslektor