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Keywords

Keywords - Scheduling
Scheduling Nurses
Scheduling Doctors
Genetic Algorithm

Abstract

The study aims to compare the scheduling of nurses at work on dual shifts and the scheduling of doctors at work with triple shifts, Where Good scheduling contributes to increasing the well-being of workers and achieving their satisfaction, thus focusing their interests in providing services, where Organizations today invest their resources optimally through the scheduling process, which is the process of allocating those resources in a certain period of time by achieving a set of constraints , as it has an important role in achieving the goals of organizations and increasing their efficiency, as the service production system in most service organizations, especially Nasiriyah Heart Hospital, suffers from a large momentum in the numbers of patients and the Hospital providing health services to all governorates and working to improve the service provided to customers (patients). Nasiriyah Heart Hospital was chosen to represent the study population, while the sample was chosen by the number of doctors (Senior resident) in all departments of the hospital, and the number of nurses in the children’s lobby. the study problem was formulated in the MILP method (mixed integer liner programming) and solved it using the GA genetic algorithm, which is one of the advanced modern quantitative methods that have efficiency and speed in solving the scheduling problem and was implemented through the MATLAB 2023b program. where the problem of scheduling staff, including doctors (senior residents) in the hospital and nurses who work in the children's lobby, has been solved and a comparison. As this, the study found that the genetic algorithm has efficiency and speed in solving the problem of scheduling workers and reaching the optimal solution very quickly, and the constraints imposed on the scheduling of nurses are more flexible compared to the scheduling of doctors because of the large number of nurses
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