Özel Kısıtlı Hemşire Çizelgeleme Probleminin Çözümü için Hedef Programlama Model Önerisi

İşletmelerde en büyük maliyet kalemleri arasında olan işgücü maliyetini etkili bir şekilde yönetebilmek ve bu maliyetleri azaltabilmek için yapılan planlamaların, programların etkisi çok önemlidir. Literatürde personel çizelgeleme olarak adlandırılan bu problemlerde işgücü kaynağını etkili bir şekilde planlayarak hem dengeli ve adil bir çalışma ortamı ayarlanmış olur hem de işgücü maliyetlerini dolaylı olarak azaltılmasına katkıda bulunulur. Personel çizelgeleme problemleri literatürde sağlık, ulaşım, eğitim gibi sektörlerde uygulama imkanı bulmuştur. Bu çalışmada da personel çizelgeleme problemlerinin bir alt türü olan hemşire çizelgeleme problemi ele alınmıştır. Sağlık sektöründe önemli paydaşlar arasında yer alan hemşirelerin çalışma saatleri uzun ve yorucu olduğu için yapılacak çizelgelerin önemi bir kat daha artmaktadır. Çalışmada hemşirelerin özel durumları dikkate alınmıştır. Hedef programlama yöntemi ile bu problemin çözümü gerçekleştirilmiştir.

Goal Programming Model Proposal for Solution of Special Constraint Nurse Scheduling Problem

To effectively manage the labor cost, which is among the most significant cost items in businesses, and to reduce these costs, the effect of the plans and programs is significant. In these problems, which are called personnel scheduling in the literature, a balanced and fair working environment is set by effectively planning the labor force. Therefore, it indirectly contributes to the reduction of labor costs. Personnel scheduling problems have found application in the literature in the health, transportation, and education sectors. In this study, the nurse scheduling problem, a sub-type of personnel scheduling problems, is discussed. Since the working hours of nurses, who are among the critical stakeholders in the health sector, are long and tiring, the importance of the schedules increases. In the study, the special situations of nurses were taken into account. The solution to this problem was realized with the goal programming method.

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