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    Goal Programming Model for Nurse Schedule Problem in the Pandemic Process
    (Konya Teknik Univ, 2023) Koçak, Müberra; Ekren, Gizem; Yumuşak, Rabia; Eren, Tamer; Alakas, Hacı Mehmet
    It is observed that nurses working in health institutions during the pandemic process, long working hours negatively affect nurses in psychological and physical terms. As a result of the pandemic process, the increasing workload in hospitals, especially the heavy and exhausting 24-hour shifts and work in the seizure system, and the fact that nurses are exposed to an irregular work schedule, the quality of work and personal life of staff is adversely affected. As a result of this, the quality of service provided to patients also decreases. In order to eliminate the negativity caused by the working conditions of nurses and to increase customer satisfaction, the problem of nurse scheduling was discussed in this study. Two solutions have been proposed for the nurse scheduling problem in the neurology intensive care unit, where 18 nurses work at the state hospital. Firstly, the solution was presented with the 0-1 goal programming method taking into account the current working conditions of the hospital. Secondly, in order to prevent the risks that may arise from a 24-hour shift, a new model was proposed by working on a two-shift system of 8 and 16 hours. In the proposed models, a fair and balanced work program has been established taking into account the rules of the hospital, the specific wishes and experiences of the nurses. This study not only addresses the real-life problem, but also provides a new perspective on the nurse scheduling problem with the analysis of the current situation and the proposal of a new shift system.