Revenue management based hospital appointment scheduling

Hospital resources are limited, a large part of patients could not get timely medical treatment in hospital. Thus, the issue of hospital appointment scheduling is necessary. This research aims at hospital outpatient appointment scheduling which is the key of enhancing hospital efficiency and patients' satisfaction. In this paper, based on the revenue management, we established a hospital outpatient appointment scheduling optimization model with considering both of expert doctors and general doctors. In the model, doctor's salary, hospital's revenue, the patient's needs and doctor's capacity obey normal distribution. By using the expectation operator and chance operator, we make an equivalent transformation of the proposed model to convert the uncertainty mathematical model into a crisp model with full mathematical meaning. Moreover, we use some numerical examples to test the final model in order to show the reasonability and effectiveness.