Risk Analysis in the Food Cold Chain Using Decomposed Fuzzy Set-Based FMEA Approach

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dc.contributor.authorArslan, Özlem
dc.contributor.authorKarakurt, Necip
dc.contributor.authorCem, Ecem
dc.contributor.authorCebi, Selcuk
dc.date.accessioned2024-10-29T17:43:36Z
dc.date.available2024-10-29T17:43:36Z
dc.date.issued2023
dc.departmentTekirdağ Namık Kemal Üniversitesi
dc.description.abstractRisk analysis is employed across various domains, including the increasingly vital food supply chain, particularly highlighted by the COVID-19 pandemic. This study focuses on applying decomposed fuzzy sets (DFS), a novel extension of intuitionistic fuzzy sets, within the context of the food cold chain. The objective is to develop “Decomposed Fuzzy Set-Based FMEA (DF FMEA)” by extending the well-known failure mode and effect analysis (FMEA) method to DFS, to assess risks in the food cold chain. The functional and dysfunctional questions related to the severity, occurrence, and detectability of the identified risks; they were addressed to three experts working on the food cold chain. The purpose is to prevent an inconsistent assignment considering the uncertainty and indecision of decision makers. Due to the implementation of the DF FMEA, the identified risks were prioritized as follows: “Financial Risks” held the highest priority, followed by “Delivery Risks”, “Technological Ability Risks”, “Environmental Risks”, “Quality Risks”, and “Social Risks” with the lowest priority. The study’s practical impact lies in the innovative risk assessment method. By considering decision makers’ preferences and uncertainties, the DF FMEA approach enhances informed decision making. This contributes to a robust framework for addressing risks in the food cold chain, aiding practitioners in more effective risk management. © 2023 by the authors.
dc.identifier.doi10.3390/su151713169
dc.identifier.issn2071-1050
dc.identifier.issue17en_US
dc.identifier.scopus2-s2.0-85170396740
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.3390/su151713169
dc.identifier.urihttps://hdl.handle.net/20.500.11776/12508
dc.identifier.volume15
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherMultidisciplinary Digital Publishing Institute (MDPI)
dc.relation.ispartofSustainability (Switzerland)
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectdecomposed fuzzy sets (DFS)
dc.subjectfailure mode and effect analysis (FMEA)
dc.subjectfood cold chain
dc.subjectrisk analysis
dc.titleRisk Analysis in the Food Cold Chain Using Decomposed Fuzzy Set-Based FMEA Approach
dc.typeArticle

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