Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/63222
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dc.titleOn the monitoring of trended and regularly adjusted processes
dc.contributor.authorXie, M.
dc.contributor.authorDel Castillo, E.
dc.contributor.authorGoh, T.N.
dc.contributor.authorCai, D.Q.
dc.date.accessioned2014-06-17T07:01:35Z
dc.date.available2014-06-17T07:01:35Z
dc.date.issued2001-11-10
dc.identifier.citationXie, M., Del Castillo, E., Goh, T.N., Cai, D.Q. (2001-11-10). On the monitoring of trended and regularly adjusted processes. International Journal of Production Research 39 (16) : 3641-3650. ScholarBank@NUS Repository.
dc.identifier.issn00207543
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/63222
dc.description.abstractTrended and regularly adjusted processes are common in manufacturing industries. Such processes are, for example, related to tool wear, material replenishment or some regular maintenance. When the process has a slow trend or is frequently adjusted, the Shewhart chart can be interpreted in the same way as for a stable process. To facilitate comparison between such a trended and adjusted process to a stable case, and to estimate further the loss of effectiveness when the traditional Shewhart chart is applied to trended and adjusted process, this paper provides a statistical interpretation of traditional Shewhart charts for this type of processes. Formulas are derived for the calculation of alarm rate and average run length (ARL). This study is useful when deciding if a traditional Shewhart chart is sufficient or if a more advanced Statistical Process Control method is necessary. Furthermore, given the in-control and out-of-control ARL, a combined decision with regard to the control limits setting and the adjustment interval can be made. The general formulation is described and a simple linear trend model with an actual data set is used as an illustration.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1080/00207540110064910
dc.sourceScopus
dc.typeArticle
dc.contributor.departmentINDUSTRIAL & SYSTEMS ENGINEERING
dc.description.sourcetitleInternational Journal of Production Research
dc.description.volume39
dc.description.issue16
dc.description.page3641-3650
dc.description.codenIJPRB
dc.identifier.isiut000171519800004
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