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Cited 78 time in webofscience Cited 83 time in scopus
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dc.contributor.authorAslam, M-
dc.contributor.authorKhan, N-
dc.contributor.authorAzam, M-
dc.contributor.authorJun, CH-
dc.date.accessioned2016-03-31T07:54:06Z-
dc.date.available2016-03-31T07:54:06Z-
dc.date.created2015-02-04-
dc.date.issued2014-06-10-
dc.identifier.issn0020-0255-
dc.identifier.other2014-OAK-0000031034-
dc.identifier.urihttps://oasis.postech.ac.kr/handle/2014.oak/14134-
dc.description.abstractIn this article, we propose a new t-chart for monitoring a process under the assumption that the time between events follows the exponential distribution. The proposed t-chart has double control limits that use repetitive sampling and determine its control constants. The in-control and the out-of-control average run lengths are derived and tabulated according to various process shifts. The proposed control chart indicates the out-of-control process more quickly than the existing control chart for small shifts. (C) 2014 Elsevier Inc. All rights reserved.-
dc.description.statementofresponsibilityX-
dc.languageEnglish-
dc.publisherELSEVIER SCIENCE INC-
dc.relation.isPartOfINFORMATION SCIENCES-
dc.subjectRepetitive sampling-
dc.subjectt-Chart-
dc.subjectAverage run length-
dc.subjectExponential distribution-
dc.subjectHEALTH-CARE-
dc.subjectCUSUM-
dc.subjectSURVEILLANCE-
dc.subjectROBUSTNESS-
dc.subjectTIME-
dc.titleDesigning of a new monitoring t-chart using repetitive sampling-
dc.typeArticle-
dc.contributor.college산업경영공학과-
dc.identifier.doi10.1016/J.INS.2014.01.022-
dc.author.googleAslam, M-
dc.author.googleKhan, N-
dc.author.googleAzam, M-
dc.author.googleJun, CH-
dc.relation.volume269-
dc.relation.startpage210-
dc.relation.lastpage216-
dc.contributor.id10070938-
dc.relation.journalINFORMATION SCIENCES-
dc.relation.indexSCI급, SCOPUS 등재논문-
dc.relation.sciSCI-
dc.collections.nameJournal Papers-
dc.type.rimsART-
dc.identifier.bibliographicCitationINFORMATION SCIENCES, v.269, pp.210 - 216-
dc.identifier.wosid000334897600014-
dc.date.tcdate2019-01-01-
dc.citation.endPage216-
dc.citation.startPage210-
dc.citation.titleINFORMATION SCIENCES-
dc.citation.volume269-
dc.contributor.affiliatedAuthorJun, CH-
dc.identifier.scopusid2-s2.0-84897062213-
dc.description.journalClass1-
dc.description.journalClass1-
dc.description.wostc30-
dc.description.scptc23*
dc.date.scptcdate2018-05-121*
dc.type.docTypeArticle-
dc.subject.keywordPlusHEALTH-CARE-
dc.subject.keywordPlusROBUSTNESS-
dc.subject.keywordPlusTIME-
dc.subject.keywordAuthorRepetitive sampling-
dc.subject.keywordAuthort-Chart-
dc.subject.keywordAuthorAverage run length-
dc.subject.keywordAuthorExponential distribution-
dc.relation.journalWebOfScienceCategoryComputer Science, Information Systems-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-

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전치혁JUN, CHI HYUCK
Dept of Industrial & Management Enginrg
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