Yıl: 2022 Cilt: 6 Sayı: 2 Sayfa Aralığı: 1390 - 1409 Metin Dili: Türkçe DOI: 10.56554/jtom.1205364 İndeks Tarihi: 08-01-2023

İnsan hata yapma olasılığına dayanan yeni bir risk değerlendirme metodu: SPC-HEART

Öz:
Çalışanların hata yapma potansiyellerinin azaltılması iş sağlığı ve güvenliğinin artırılması ve dolayısıyla iş veriminin ve kalitesinin artırılması için son derece önemlidir. Hata yapma potansiyeli, çalışanların yerine getirdikleri görevlere, çalışma ortamına, iş yüklerine ve iş koşullarına bağlıdır. Ayrıca her çalışanın görev bazında hata yapma olasılığı kişinin fiziksel ve zihinsel özellikleri bakımından farklılık göstermektedir. Hata yapma olasılıklarına bağlı olarak görevlerin farklı risk düzeyleri mevcuttur. Bu risk düzeylerine göre çalışanlara görev atanması ve iş yüklerinin dengelenmesi iş kazalarını azaltacak ve verimliliğin artmasına neden olacaktır. Bu çalışmada, görev bazında hata yapma olasılıklarına bağlı olarak risk değerlendirilmesi için SWARA ve PCA tabanlı yeni bir HEART yöntemi olan SPC-HEART yöntemi önerilmiştir. Karar vericilerin görüşleri dikkate alınarak hata üreten koşulların önem ağırlıkları SWARA yöntemi ile belirlenirken; her bir çalışan için fiziksel ve zihinsel iş yükü faktörlerinin bileşke etkisi PCA yöntemi ile ortaya çıkarılmıştır. Her bir çalışan için görev bazında hata potansiyellerini hesaplayan proaktif bir risk önleme yaklaşımı elde önerilmiştir. Önerilen yaklaşımın etkinliği hemşireler üzerinde yapılan bir gerçek hayat uygulaması ile gösterilmiştir.
Anahtar Kelime: İnsan Hatası HEART SWARA PCA Risk Değerlendirme

A new risk assessment method based on the probability of human error: SPC-HEART

Öz:
Performing human reliability analysis taking into account human error is a critical issue for risk assessment. Human Error Assessment and Reduction Technique (HEART); production, energy, transportation, health, etc. It is a Human Reliability Analysis method that has applications in many different fields such as. In this method, it is very important to determine the probability of making mistakes on a task basis. Examination of accident causes and human error trends is based on the values of mission-specific error-producing conditions. The probability of error also depends on the tasks performed by the employees, the work environment, workloads, and working conditions. In addition, the probability of each employee making a mistake on a task basis differs according to the physical and mental characteristics of the person. The aim of this study is to present a methodological framework that makes error analysis and decides in terms of work compliance by determining the effect of error-producing conditions, taking into account the effect of mental and physical factors. In this study, a new HEART method based on Step-Wise Weight Assessment Ratio Analysis (SWARA) and Principal Component Analysis (PCA) for risk assessment depends on the probability of making mistakes for each task on an individual basis. The SPC- HEART method is recommended. It is a proactive risk prevention method that calculates error potentials for each employee on a per-task basis. The effectiveness of the proposed method has been demonstrated by a real-life practice on nurses.
Anahtar Kelime: Human Error HEART SWARA PCA Risk evaluation

Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık
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APA KÖSEOĞLU S, kılıç delice e (2022). İnsan hata yapma olasılığına dayanan yeni bir risk değerlendirme metodu: SPC-HEART. , 1390 - 1409. 10.56554/jtom.1205364
Chicago KÖSEOĞLU Salih Cihan,kılıç delice elif İnsan hata yapma olasılığına dayanan yeni bir risk değerlendirme metodu: SPC-HEART. (2022): 1390 - 1409. 10.56554/jtom.1205364
MLA KÖSEOĞLU Salih Cihan,kılıç delice elif İnsan hata yapma olasılığına dayanan yeni bir risk değerlendirme metodu: SPC-HEART. , 2022, ss.1390 - 1409. 10.56554/jtom.1205364
AMA KÖSEOĞLU S,kılıç delice e İnsan hata yapma olasılığına dayanan yeni bir risk değerlendirme metodu: SPC-HEART. . 2022; 1390 - 1409. 10.56554/jtom.1205364
Vancouver KÖSEOĞLU S,kılıç delice e İnsan hata yapma olasılığına dayanan yeni bir risk değerlendirme metodu: SPC-HEART. . 2022; 1390 - 1409. 10.56554/jtom.1205364
IEEE KÖSEOĞLU S,kılıç delice e "İnsan hata yapma olasılığına dayanan yeni bir risk değerlendirme metodu: SPC-HEART." , ss.1390 - 1409, 2022. 10.56554/jtom.1205364
ISNAD KÖSEOĞLU, Salih Cihan - kılıç delice, elif. "İnsan hata yapma olasılığına dayanan yeni bir risk değerlendirme metodu: SPC-HEART". (2022), 1390-1409. https://doi.org/10.56554/jtom.1205364
APA KÖSEOĞLU S, kılıç delice e (2022). İnsan hata yapma olasılığına dayanan yeni bir risk değerlendirme metodu: SPC-HEART. Journal of the Turkish Operations Management (JTOM), 6(2), 1390 - 1409. 10.56554/jtom.1205364
Chicago KÖSEOĞLU Salih Cihan,kılıç delice elif İnsan hata yapma olasılığına dayanan yeni bir risk değerlendirme metodu: SPC-HEART. Journal of the Turkish Operations Management (JTOM) 6, no.2 (2022): 1390 - 1409. 10.56554/jtom.1205364
MLA KÖSEOĞLU Salih Cihan,kılıç delice elif İnsan hata yapma olasılığına dayanan yeni bir risk değerlendirme metodu: SPC-HEART. Journal of the Turkish Operations Management (JTOM), vol.6, no.2, 2022, ss.1390 - 1409. 10.56554/jtom.1205364
AMA KÖSEOĞLU S,kılıç delice e İnsan hata yapma olasılığına dayanan yeni bir risk değerlendirme metodu: SPC-HEART. Journal of the Turkish Operations Management (JTOM). 2022; 6(2): 1390 - 1409. 10.56554/jtom.1205364
Vancouver KÖSEOĞLU S,kılıç delice e İnsan hata yapma olasılığına dayanan yeni bir risk değerlendirme metodu: SPC-HEART. Journal of the Turkish Operations Management (JTOM). 2022; 6(2): 1390 - 1409. 10.56554/jtom.1205364
IEEE KÖSEOĞLU S,kılıç delice e "İnsan hata yapma olasılığına dayanan yeni bir risk değerlendirme metodu: SPC-HEART." Journal of the Turkish Operations Management (JTOM), 6, ss.1390 - 1409, 2022. 10.56554/jtom.1205364
ISNAD KÖSEOĞLU, Salih Cihan - kılıç delice, elif. "İnsan hata yapma olasılığına dayanan yeni bir risk değerlendirme metodu: SPC-HEART". Journal of the Turkish Operations Management (JTOM) 6/2 (2022), 1390-1409. https://doi.org/10.56554/jtom.1205364