Development of human resource scheduling model in the healthcare sector during the pandemic
Publication Type
Original research

Researchers have paid close attention to hospital resource planning in recent decades, but the impact of human factors, such as human immunity, on healthcare management has been neglected. This paper integrates physicians’ differences to examine their effect on patient waiting time and patient satisfaction. A mixed-integer programming model is proposed by considering different levels of physicians and various types of departments. The model seeks an effective physician assignment between skills, experience, and immunity. A non-dominated sorting genetic algorithm II (NSGS-II) is conducted to confirm the proposed verification of the model and perform human resource planning in hospitals based on these factors. The results of sensitivity analysis demonstrated that considering the classification of patients and physicians’ issues causes a significant improvement in the efficiency of hospitals in the future. Furthermore, the number of physicians assigned to each department varies according to the type of patient, so the assignment of medical specialists in the hospital requires information about demands, including patient classification and morbidity rates in the healthcare sector. Healthcare organizations require the efficient allocation of clinical specialists. This model equips hospital administrators with sufficient knowledge of how to deal with the pandemic.

International Journal of Management Science and Engineering Management
Taylor and Francis Ltd.
Publisher Country
United Kingdom
Impact Factor
Publication Type
Both (Printed and Online)