Solving the nurse scheduling problem in crisis situations applying a genetic algorithm

Abstract

This paper analyzes the nurse scheduling problem and uses a genetic algorithm to solve it considering a crisis situation. The aim is to provide an additional crisis unit in a hospital, which is sourced with specially trained staff from other units. The focus of this optimization problem is to create a staff rostering with minimal impact on the physical and mental health of the employees, while handling the challenges of a crisis with less administrative overhead.