An Intuitionistic Fuzzy Multi-Criteria Approach for Prioritizing Failures That Cause Overproduction: A Case Study in Process Manufacturing

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dc.citation.epage17
dc.citation.spage1
dc.citation.volume13
dc.contributor.authorSudžum, Ranka
dc.contributor.authorNestić, Snežana
dc.contributor.authorKomatina, Nikola
dc.contributor.authorKraišnik, Milija
dc.date.accessioned2024-06-27T08:43:24Z
dc.date.available2024-06-27T08:43:24Z
dc.date.issued2024
dc.description.abstractOverproduction is one of the most significant wastes of Lean that can occur in any manufacturing company. Identifying and prioritizing failures that lead to overproduction are crucial tasks for operational managers and engineers. Therefore, this paper presents a new approach for determining the priority of failures that cause overproduction, based on an intuitionistic fuzzy Multi-Criteria Optimization model and the Failure Mode and Effects Analysis framework. The existing vagueness in the relative importance of risk factors and their values is described using natural language words, which are modeled with trapezoidal intuitionistic fuzzy numbers. Determining the relative importance of risk factors is defined as a fuzzy group decision-making problem, and the weight vector is obtained by applying the proposed Analytical Hierarchy Process with trapezoidal intuitionistic fuzzy numbers. The compromise solution, as well as the stability check of the obtained compromise solution, is achieved using the proposed Multi-Criteria Optimization and Compromise Solution with trapezoidal intuitionistic fuzzy numbers. The proposed model was applied to data collected from a process manufacturing company.
dc.identifier.doihttps://doi.org/10.3390/axioms13060357
dc.identifier.issn2075-1680
dc.identifier.urihttps://vaseljena.ues.rs.ba/handle/123456789/1217
dc.language.isoen
dc.publisherMDPI
dc.sourceAxioms
dc.subjectpriority of failures; overproduction; trapezoidal intuitionistic fuzzy sets; IF-AHP; IF-VIKOR
dc.titleAn Intuitionistic Fuzzy Multi-Criteria Approach for Prioritizing Failures That Cause Overproduction: A Case Study in Process Manufacturing
dc.typeArticle
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Машински факултет [Научни радови] / Faculty of Mechanical Engineering [Scientific papers]