Please use this identifier to cite or link to this item: https://doi.org/10.1108/02656719710156789
DC FieldValue
dc.titleThe use of probability limits for process control based on geometric distribution
dc.contributor.authorXie, M.
dc.contributor.authorGoh, T.N.
dc.date.accessioned2014-06-17T07:03:20Z
dc.date.available2014-06-17T07:03:20Z
dc.date.issued1997
dc.identifier.citationXie, M.,Goh, T.N. (1997). The use of probability limits for process control based on geometric distribution. International Journal of Quality and Reliability Management 14 (1) : 64-73. ScholarBank@NUS Repository. <a href="https://doi.org/10.1108/02656719710156789" target="_blank">https://doi.org/10.1108/02656719710156789</a>
dc.identifier.issn0265671X
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/63377
dc.description.abstractControl charts based on geometric distribution have shown to be useful when this is a better approximation of the underlying distribution than the Poisson distribution. The traditional c-chart, if used, will cause too many false alarms. It is noted that for geometric distribution, the control limits are based on k times standard deviation which has been used previously, will cause a frequent false alarm, and cannot derive any reasonable lower control limits. Studies the use of probability limits to resolve these problems. Also discusses the use of geometric distribution for process control of high-yield processes. © MCB UP Ltd.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1108/02656719710156789
dc.sourceScopus
dc.subjectControl charts
dc.subjectImprovement
dc.subjectProbability
dc.subjectProcess control
dc.subjectStatistical process control
dc.typeArticle
dc.contributor.departmentINDUSTRIAL & SYSTEMS ENGINEERING
dc.description.doi10.1108/02656719710156789
dc.description.sourcetitleInternational Journal of Quality and Reliability Management
dc.description.volume14
dc.description.issue1
dc.description.page64-73
dc.identifier.isiutNOT_IN_WOS
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