A fuzzy approach to define sample size for attributes control chart in multistage processes: An application in engine valve manufacturing process

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dc.contributor.authorEngin, Orhan
dc.contributor.authorÇelik, Ahmet
dc.contributor.authorKaya, İhsan
dc.date.accessioned2020-03-26T17:26:18Z
dc.date.available2020-03-26T17:26:18Z
dc.date.issued2008
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractControl charts are a basic means for monitoring the quality characteristics of processes to ensure the required quality level. Determine the sample size is a problem for attribute control charts (ACC). Kaya and Engin [I. Kaya, O. Engin, A new approach to define sample size at attributes control chart in multistage processes: an application in engine piston manufacturing process, J. Mater. Process. Technol. 183 (2007) 38-48] developed a model to determine sample size in multistage process and it was solved by Genetic Algorithms (GAs). In their model, the parameters such as defective item rates for raw materials and benches were assumed to be known exactly. But in many real world applications, these parameters may be changed very dynamically due to material, human factors or operating faults. In this study a fuzzy approach for ACC in multistage process is presented and it is solved by GAs. Formulations of this model are calculated based on acceptance sampling approach and, two main parameters are determined for every stage by GAs. These are: sample size, n, and acceptance number, c. The sample size, n, is suggested for ACC. The main contributions of this paper are to develop a fuzzy model for ACC in multistage processes. The proposed approach is applied in an engine valve manufacturing firm and the model is solved by GAs. (c) 2008 Elsevier B.V. All rights reserved.en_US
dc.identifier.doi10.1016/j.asoc.2008.01.005en_US
dc.identifier.endpage1663en_US
dc.identifier.issn1568-4946en_US
dc.identifier.issn1872-9681en_US
dc.identifier.issue4en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage1654en_US
dc.identifier.urihttps://dx.doi.org/10.1016/j.asoc.2008.01.005
dc.identifier.urihttps://hdl.handle.net/20.500.12395/22150
dc.identifier.volume8en_US
dc.identifier.wosWOS:000258833900037en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherELSEVIERen_US
dc.relation.ispartofAPPLIED SOFT COMPUTINGen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectattribute control chartsen_US
dc.subjectengine valve manufacturingen_US
dc.subjectfuzzy logicen_US
dc.subjectmultistage inspection problemsen_US
dc.subjectGenetic algorithmen_US
dc.titleA fuzzy approach to define sample size for attributes control chart in multistage processes: An application in engine valve manufacturing processen_US
dc.typeArticleen_US

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