A Hybrid Approach to Detecting the Best Solution in Nurse Scheduling Problem

Staff scheduling at hospitals is a widely-studied area in both, operation research and management science because of cost effectiveness that is required from hospitals. There is an interest for procedures on how to run a hospital more economically and efficiently. The goal of nurse scheduling is to minimize the cost of the staff and maximizing their preferences. This paper is focused on a new strategy based on hybrid model for detecting the best solution in nurse scheduling problem. The new proposed hybrid approach is obtained by combining case-based reasoning and general linear empirical model with arbitrary coefficients. The model is tested with original real world dataset obtained from the Oncology Institute of Vojvodina in Serbia.