Hemşire Çizelgeleme Problemlerinin Genetik Algoritmalarla Optimizasyonu ve Bir Uygulama

Sağlık hizmetlerinin temel amacı; kişi, aile ve toplumların sağlıklarının korunması, hastaların tedavi edilmesi ve yaşamlarını sağlıklı olarak sürdürebilmelerini sağlamaktır. Hemşire Çizelgeleme Problemi, sağlık sektöründe çok çalışılan ve hizmet kalitesini artırmayı hedefleyen bir problemdir. Problem kısaca; sınırlı kaynakların belirli amaçlar doğrultusunda, belirli kısıtlar altında ve belirli bir zaman aralığında işlere atanması ile ilgili karar verme sürecini inceler. Çizelgeleme problemleri, çözümü zor olan problemler grubuna girmektedir. Bu yüzden bu çalışmada yaklaşık en iyi çözüm değerlerine ulaşabilmek için sezgisel algoritmalardan biri olan Genetik Algoritmalar kullanılmıştır. Çalışma, Buca Seyfi Demirsoy Devlet Hastanesi’nin bir servisindeki hemşirelerin verileriyle yapılmıştır. Hemşirelerin en uygun çalışma saatlerini bulmak amacıyla oluşturulan modelin çözümü için MATLAB programının genetik algoritmalar aracından yararlanılmıştır. Son olarak elde edilen sonuçlarla hastanenin gerçek nöbet çizelgeleri karşılaştırılarak çalışma tamamlanmıştır.

Anahtar Kelimeler:

Hemşire Çizelgeleme Problemi, Genetik Algoritmalar, Optimizasyon

Optimization of Nurse Scheduling Problem with Genetic Algorithms and an Application

The main purpose of health services are to protect the health of people, families and communities, to treat patients, and to ensure that they can continue their lives in a healthy way. The nurse problem is commonly studied in the health sector and aims to increase the quality of service. The problem is briefly; is the decision-making process for the assignment of limited resources for specific purposes, under certain constraints and within a specified time period. Scheduling problems are among the ones whose solutions are rather difficult. Hence, in this study, Genetic Algorithms, one of the heuristic algorithms, has been used in order to reach approximately the best solution values. The study has been conducted on the data of nurses working in a clinic of Seyfi Demirsoy State Hospital. So as to find the most available work-hours of nurses, the genetic algorithms toolbox of MATLAB is utilized. Finally, the study has been completed by comparing the authentic shift-schedules of the hospital with the attained results.

Keywords:

Nurse Scheduling Problem, Genetic Algorithms, Optimization,

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