DC Field | Value | Language |
---|---|---|
dc.contributor.author | Aslam, M. | - |
dc.contributor.author | Khan, N. | - |
dc.contributor.author | Ahmad, L. | - |
dc.contributor.author | Jun, C.-H. | - |
dc.contributor.author | Hussain, J. | - |
dc.date.accessioned | 2018-06-15T05:39:57Z | - |
dc.date.available | 2018-06-15T05:39:57Z | - |
dc.date.created | 2017-12-21 | - |
dc.date.issued | 2017-06 | - |
dc.identifier.issn | 0747-4946 | - |
dc.identifier.uri | https://oasis.postech.ac.kr/handle/2014.oak/50713 | - |
dc.description.abstract | Control charts are considered as a compulsory tool for the monitoring and improvement of the quality of products. The commonly used attribute and the variable control charts are unsatisfactory for process monitoring. To overcome this di?culty, we proposed a monitoring scheme that is an improved technique based on the joint merits of the attribute as well as the variable control charts. The control chart coe?cients have been determined for in-control and out-of-control situations for specified average run length values using simulation. The e?ciency of the proposed control chart has been evaluated using average run length criteria for different values of the process settings. A practical example has been studied for implementation of the proposed technique. It has been observed that the proposed chart performs well for the mixed technique under the process capability index. ? 2017 Taylor & Francis. | - |
dc.language | English | - |
dc.publisher | Taylor and Francis Inc. | - |
dc.relation.isPartOf | Sequential Analysis | - |
dc.subject | Control charts | - |
dc.subject | Flowcharting | - |
dc.subject | Graphic methods | - |
dc.subject | Process monitoring | - |
dc.subject | Quality control | - |
dc.subject | Robustness (control systems) | - |
dc.subject | Attribute charts | - |
dc.subject | Average run lengths | - |
dc.subject | Process capability indices | - |
dc.subject | Sampling schemes | - |
dc.subject | variable charts | - |
dc.subject | Process control | - |
dc.title | A mixed control chart using process capability index | - |
dc.type | Article | - |
dc.identifier.doi | 10.1080/07474946.2017.1319690 | - |
dc.type.rims | ART | - |
dc.identifier.bibliographicCitation | Sequential Analysis, v.36, no.2, pp.278 - 289 | - |
dc.identifier.wosid | 000404258400007 | - |
dc.date.tcdate | 2019-02-01 | - |
dc.citation.endPage | 289 | - |
dc.citation.number | 2 | - |
dc.citation.startPage | 278 | - |
dc.citation.title | Sequential Analysis | - |
dc.citation.volume | 36 | - |
dc.contributor.affiliatedAuthor | Jun, C.-H. | - |
dc.identifier.scopusid | 2-s2.0-85021283323 | - |
dc.description.journalClass | 1 | - |
dc.description.journalClass | 1 | - |
dc.description.wostc | 1 | - |
dc.type.docType | Article | - |
dc.subject.keywordPlus | AVERAGE RUN LENGTHS | - |
dc.subject.keywordPlus | MARKOV-CHAIN APPROACH | - |
dc.subject.keywordPlus | SAMPLING PLANS | - |
dc.subject.keywordPlus | INSPECTION | - |
dc.subject.keywordPlus | PRODUCT | - |
dc.subject.keywordAuthor | Attribute charts | - |
dc.subject.keywordAuthor | average run length | - |
dc.subject.keywordAuthor | mixed sampling scheme | - |
dc.subject.keywordAuthor | process capability index C-pk | - |
dc.subject.keywordAuthor | variable charts | - |
dc.relation.journalWebOfScienceCategory | Statistics & Probability | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Mathematics | - |
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