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EVAMIX ve TODIM Yöntemleri İle Sağlık Sektöründe Personel Seçimi

Personnel Selection In Health Sector with EVAMIX and TODIM Methods

Journal Name:

  • Alphanumeric Journal

Publication Year:

  • 2016
DOI: 
10.17093/aj.2016.4.2.5000194528

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Keywords (Original Language):

Author NameUniversity of Author
Abstract (2. Language): 
Nowadays human is the most important factor that affects the success of production and service companies. Different jobs and positions exist within the structure of the companies require different knowledge, talent and personality characteristics. In this manner operating efficiently and productively is affected by the selection of proper personnel to these jobs and positions. In the personnel selection process there are many criteria that the companies consider. These types of problems may be solved by Multi Criteria Decision Making (MCDM) methods. In this study the nurse selection problem of a private hospital is handled and this problem is solved by EVAMIX (EVAluation of MIXed Data) and TODIM (Iterative Multi Criteria Decision Making) methods which are MCDM methods. At the end of the study ranking order of nurse alternatives is provided to the hospital management after performing necessary operations and results are compared.
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Abstract (Original Language): 
Günümüzde üretim ve hizmet işletmelerinin başarısını etkileyen faktörlerin başında insan gelmektedir. İşletmelerin yapısında yer alan farklı işler ve pozisyonlar; farklı bilgiyi, yeteneği ve kişilik özelliklerini gerektirmektedir. Bu durumda işletmelerin etkin ve verimli şekilde faaliyet göstermesi, bu işlere ve pozisyonlara uygun personelin seçiminden oldukça etkilenmektedir. Personel seçim sürecinde işletmelerin dikkate alması gereken birçok kriter bulunmaktadır. Bu seçime ilişkin problem, literatürde önerilen Çok Kriterli Karar Verme (ÇKKV) yöntemleri ile çözülebilmektedir. Bu çalışmada özel bir hastanenin hemşire seçim problemi dikkate alınmış ve bu problem, ÇKKV yöntemlerinden EVAMIX (EVAluation of MIXed Data) ve TODIM (Iterative Multi Criteria Decision Making) yöntemleri ile çözülmüştür. Çalışmanın sonunda hastane yönetimine, bu yöntemlerden elde edilen hemşire adaylarına ilişkin sıralamalar sunulmuş ve sonuçlar karşılaştırılmıştır.
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