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dc.contributor.authorChang, Kuei-Huen_US
dc.contributor.authorChang, Yung-Chiaen_US
dc.contributor.authorWen, Ta-Chunen_US
dc.contributor.authorCheng, Ching-Hsueen_US
dc.date.accessioned2014-12-08T15:21:30Z-
dc.date.available2014-12-08T15:21:30Z-
dc.date.issued2012-01-01en_US
dc.identifier.issn1349-4198en_US
dc.identifier.urihttp://hdl.handle.net/11536/15281-
dc.description.abstractProcess failure mode and effects analysis (FMEA) is used in the high-tech industry to assure process robustness. Traditionally, process FMEA uses the risk priority number (RPN) to evaluate the risk of failure. However, the RPN method has several main shortcomings. In order to improve the method of RPN evaluation, this paper proposes an innovative approach, integrating 2-tuple and the linguistic ordered weighted geometric averaging (LOWGA) operator in process FMEA. The main purpose of this study is to effectively resolve the main shortcomings of RPN evaluation to assure product and process robustness. In numerical verification, process FMEA of the color super-twisted nematic (CSTN) product is presented to further illustrate the proposed approach. After comparing the result that was obtained from the proposed method with both the traditional RPN method and the LOWGA method, it was found that the proposed approach provided a more accurate and reasonable ranking of the risk of failure. Moreover, the proposed method does not lose the useful information provided by the experts.en_US
dc.language.isoen_USen_US
dc.subjectProcess failure mode and effects analysisen_US
dc.subjectLinguistic ordered weighted geometric averagingen_US
dc.subjectRisk priority numberen_US
dc.subjectColor super-twisted nematicen_US
dc.titleAN INNOVATIVE APPROACH INTEGRATING 2-TUPLE AND LOWGA OPERATORS IN PROCESS FAILURE MODE AND EFFECTS ANALYSISen_US
dc.typeArticleen_US
dc.identifier.journalINTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROLen_US
dc.citation.volume8en_US
dc.citation.issue1Ben_US
dc.citation.spage747en_US
dc.citation.epage761en_US
dc.contributor.department工業工程與管理學系zh_TW
dc.contributor.departmentDepartment of Industrial Engineering and Managementen_US
dc.identifier.wosnumberWOS:000299648400017-
dc.citation.woscount3-
Appears in Collections:Articles