Havacılık Sektöründe Sezgisel Bulanık TOPSİS Yöntemiyle Risk Analizi Uygulaması

Year 2021, , 97 - 111, 26.10.2021

Ceren Ünlükal , Mustafa Yücel

https://doi.org/10.51290/dpusbe.956270

Abstract

Hata Türü ve Etkileri Analizi (HTEA), birçok sektörde potansiyel hataları tanımlamak, değerlendirmek ve önlemek için sıklıkla kullanılan risk analizi tekniklerinden biridir. HTEA, süreçler ve ürünlerdeki potansiyel risklerin belirlenmesine ve azaltılmasına yardımcı olması ve yaygın olarak kullanılması gibi güçlü yönleri olan analitik bir teknik olmasına rağmen bazı noktalarda eleştirilmiştir. Risk değerlendirmesini yapan uzmanlar ve karar vericiler tarafından, risk faktörlerine 1 ile 10 arasında matematiksel bir sayı atamak kolay değildir. Bu noktada sezgisel bulanık mantık yaklaşımının sunduğu dilsel değişkenlerin kullanılması karar vericilere kolaylık sağlamakta ve risk değerlendirmelerinin doğruluğunu artırmaktadır. Bu çalışma, havacılık sektöründe faaliyet gösteren bir işletmenin üretim süreci boyunca ortaya çıkabilecek risklerini HTEA ile değerlendirmeyi amaçlamaktadır. Risk faktörlerinin göz ardı edilmesi ve risk önceliklerinin doğru belirlenememesi ihtimali göz önünde bulundurularak, çalışmaya sezgisel bulanık mantık yaklaşımı entegre edilmiştir. Bu amaçla risk faktörleri uzmanlar tarafından ağırlıklandırılmıştır. Problem çözümünde Sezgisel Bulanık TOPSIS yöntemi kullanılarak, dilsel değişkenlerin desteğiyle hatalar uzmanlar tarafından önceliklendirilmiştir.

Keywords

Risk Analizi, Hata Önceliklendirme, Hata Türü ve Etkileri Analizi (HTEA), Sezgisel Bulanık Mantık, TOPSIS

Risk Analysis Application in Aviation Sector with Intuitionistic Fuzzy TOPSIS Method

Abstract

Failure Mode and Effects Analysis (FMEA) is one of the risk analysis techniques often used in many industries to recognize, assess, and avoid potential failures. Although FMEA is an analytical technique with strengths, such as helping to identify and reduce potential risks in processes and products, and being widely used, it has been criticized at some points. It is not easy to appoint a mathematical number between 1 and 10 to risk factors by the experts and decision makers who make the risk assessment. At this point, the use of linguistic variables offered by the intuitionistic fuzzy logic approach provides convenience to decision makers and increases the accuracy of risk assessments. This study purposes to assess the risks that may arise throughout the production process of a company operating in the aviation industry with FMEA. Considering the possibility that risk factors are ignored and risk priorities cannot be determined correctly, intuitionistic fuzzy logic approach is integrated into the study. For this purpose, risk factors have been weighted by experts. In problem solving, failures have been prioritized by experts with the support of linguistic variables by using the Intuitionistic Fuzzy TOPSIS method.

Keywords

Risk Analysis, Failure Prioritization, Failure Mode and Effects Analysis (FMEA), Intuitionistic Fuzzy Logic, TOPSIS

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