Simulating Patient Flows in a Cancer Clinic
Planning resources in cancer care is difficult due to system complexity, varying resource availability and uncertain demand. It has become so complex that the analysis of treatment processes in cancer clinics cannot be done analytically [12]. Therefore, in this thesis a model of a cancer clinic is developed using discrete event simulation. The goal of the thesis is develop the model so that it can
