Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/63073
DC FieldValue
dc.titleCumulative quantity control charts for monitoring production processes
dc.contributor.authorChan, L.Y.
dc.contributor.authorXie, M.
dc.contributor.authorGoh, T.N.
dc.date.accessioned2014-06-17T06:59:50Z
dc.date.available2014-06-17T06:59:50Z
dc.date.issued2000-01-20
dc.identifier.citationChan, 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.issn00207543
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/63073
dc.description.abstractTwo 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.sourceScopus
dc.typeArticle
dc.contributor.departmentINDUSTRIAL & SYSTEMS ENGINEERING
dc.description.sourcetitleInternational Journal of Production Research
dc.description.volume38
dc.description.issue2
dc.description.page397-408
dc.description.codenIJPRB
dc.identifier.isiutNOT_IN_WOS
Appears in Collections:Staff Publications

Show simple item record
Files in This Item:
There are no files associated with this item.

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.