Risk Assessment in Cheese Production Process Using Failure Mode and Effects Analysis and Intuitionistic Fuzzy TOPSIS

Yıl 2025, Cilt: 9 Sayı: 2, 223 - 232, 29.12.2025

Ceren Ünlükal , Mine Şenel , Bilgin Şenel , Kenan Avarbek

Öz

The aim of this study is to evaluate the cheese production process, which plays a significant role in the milk and dairy industry, in terms of physical, chemical, and microbiological risks using the integrated Failure Mode and Effects Analysis (FMEA) and Intuitionistic Fuzzy TOPSIS (IF-TOPSIS) methods. Although the classical FMEA method is a widely used analytical technique that helps identify and reduce potential risks in processes, it has some drawbacks: such as the possibility that different failure modes may have the same risk priority values (RPN) and risk factor weights. To address this shortcoming, the intuitionistic fuzzy set theory was used to determine the RPN values. This study aimed to identify failures that may occur at critical steps in the production chain, their possible causes, their impact on product quality, and the priority of preventive actions. The study demonstrates that the intuitionistic fuzzy multi-criteria decision-making (MCDM) approach is an effective tool for food safety and quality management in the dairy products industry.

Anahtar Kelimeler

Cheese Production , FMEA , Food Safety , Intuitionistic Fuzzy TOPSIS (IF-TOPSIS) , MCDM , Risk Analysis.

Peynir Üretim Sürecinde Hata Türü ve Etkileri Analizi ve Sezgisel Bulanık TOPSIS ile Risk Değerlendirmesi

Öz

Bu çalışmanın amacı, süt ve süt ürünleri endüstrisinde önemli bir yer tutan peynir üretim sürecinin; fiziksel, kimyasal ve mikrobiyolojik riskler açısından Hata Türü ve Etkileri Analizi (FMEA) ve Sezgisel Bulanık TOPSIS (IF-TOPSIS) yöntemlerinin bütünleşik kullanımıyla değerlendirilmesidir. Klasik FMEA yöntemi süreçlerdeki olası riskleri tanımlamaya ve azaltmaya yardımcı olan ve yaygın olarak kullanılan bir analitik teknik olmasına rağmen, farklı hataların aynı risk öncelik değerlerine ve aynı risk faktörü ağırlığına sahip olabileceği bazı dezavantajlara sahiptir. Bu eksikliği gidermek amacıyla, RÖS (Risk Öncelik Değerleri) değerlerinin belirlenmesinde sezgisel bulanık küme teorisi kullanılmış ve üretim zincirindeki kritik adımlarda ortaya çıkabilecek hatalar, bu hataların olası nedenleri, ürün kalitesine etkileri ve önleyici faaliyetlerin önceliği belirlenmeye çalışılmıştır. Çalışma, süt ürünleri endüstrisinde gıda güvenliği ve kalite yönetiminde sezgisel bulanık çok kriterli karar verme (MCDM) yaklaşımının etkin bir araç olduğunu göstermektedir.

Anahtar Kelimeler

FMEA , Gıda Güvenliği , MCDM , Peynir Üretimi , Risk Analizi , Sezgisel Bulanık TOPSIS (IF-TOPSIS).

Kaynakça

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