Performance Analysis of Interval Type-2 Fuzzy X ¯ and R Control Charts

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Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.creatorAlmeida, Túlio S.-
Autor(es): dc.creatordos Santos Mendes, Amanda-
Autor(es): dc.creatorRocha Rizol, Paloma M. S.-
Autor(es): dc.creatorMachado, Marcela A. G.-
Data de aceite: dc.date.accessioned2025-08-21T21:46:34Z-
Data de disponibilização: dc.date.available2025-08-21T21:46:34Z-
Data de envio: dc.date.issued2025-04-29-
Data de envio: dc.date.issued2023-10-01-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.3390/app132011594-
Fonte completa do material: dc.identifierhttps://hdl.handle.net/11449/309608-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/309608-
Descrição: dc.descriptionStatistical process control (SPC) is one of the most powerful techniques for improving quality, as it is able to detect special causes of problems in processes, products and services with a remarkable degree of accuracy. Among SPC tools, (Formula presented.) and R control charts are widely employed in process monitoring. However, scenarios involving vague, imprecise and even subjective data require a type-2 fuzzy set approach. Thus, (Formula presented.) and R control charts should be coupled with interval type-2 triangular fuzzy numbers (IT2TFN) in order to add further information to traditional control charts. This paper proposes a performance analysis of IT2TFN and (Formula presented.) and R control charts by means of average run length (ARL), standard deviation of the run length (SDRL) and RL percentile. Computer simulations were carried out considering 10,000 runs to obtain ARL, SDRL and the 5th, 25th, 50th, 75th and 95th RL percentiles. Simulation results reveal that the proposed control charts increased fault detection capability (speed of response) and slightly reduced the number of false alarms in processes under control. Moreover, it was observed that, in addition to superior performance, IT2TFN (Formula presented.) -R control charts proved to be more robust and flexible when compared to traditional control charts.-
Descrição: dc.descriptionDepartment of Production Engineering São Paulo State University, SP-
Descrição: dc.descriptionDepartment of Electrical Engineering São Paulo State University, SP-
Descrição: dc.descriptionDepartment of Production Engineering São Paulo State University, SP-
Descrição: dc.descriptionDepartment of Electrical Engineering São Paulo State University, SP-
Idioma: dc.languageen-
Relação: dc.relationApplied Sciences (Switzerland)-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectcontrol charts-
Palavras-chave: dc.subjectperformance analysis-
Palavras-chave: dc.subjecttype-2 fuzzy sets-
Palavras-chave: dc.subjectuncertainty-
Título: dc.titlePerformance Analysis of Interval Type-2 Fuzzy X ¯ and R Control Charts-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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