Please use this identifier to cite or link to this item:
https://scholarbank.nus.edu.sg/handle/10635/63073
DC Field | Value | |
---|---|---|
dc.title | Cumulative quantity control charts for monitoring production processes | |
dc.contributor.author | Chan, L.Y. | |
dc.contributor.author | Xie, M. | |
dc.contributor.author | Goh, T.N. | |
dc.date.accessioned | 2014-06-17T06:59:50Z | |
dc.date.available | 2014-06-17T06:59:50Z | |
dc.date.issued | 2000-01-20 | |
dc.identifier.citation | Chan, L.Y.,Xie, M.,Goh, T.N. (2000-01-20). Cumulative quantity control charts for monitoring production processes. International Journal of Production Research 38 (2) : 397-408. ScholarBank@NUS Repository. | |
dc.identifier.issn | 00207543 | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/63073 | |
dc.description.abstract | Two commonly used statistical quality control charts, the c-chart and u-chart, are unsatisfactory for monitoring high-yield processes with low defect rates. To overcome this difficulty, a new type of control chart called the cumulative quantity control chart (CQC-chart) is introduced in this paper. The CQC-chart can be used no matter whether the process defect rate is low or not, and when the process defect rate is low or moderate the CQC-chart does not have the shortcoming of the c- and u-charts of showing up false alarm signals too frequently. The CQC-chart does not require rational subgrouping of samples (which is necessary for the c- and u-charts), and is appropriate for monitoring automated manufacturing processes. | |
dc.source | Scopus | |
dc.type | Article | |
dc.contributor.department | INDUSTRIAL & SYSTEMS ENGINEERING | |
dc.description.sourcetitle | International Journal of Production Research | |
dc.description.volume | 38 | |
dc.description.issue | 2 | |
dc.description.page | 397-408 | |
dc.description.coden | IJPRB | |
dc.identifier.isiut | NOT_IN_WOS | |
Appears in Collections: | Staff Publications |
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