Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/63205
DC FieldValue
dc.titleNonparametric CUSUM and EWMA control charts for detecting mean shifts
dc.contributor.authorLi, S.-Y.
dc.contributor.authorTang, L.-C.
dc.contributor.authorNg, S.-H.
dc.date.accessioned2014-06-17T07:01:23Z
dc.date.available2014-06-17T07:01:23Z
dc.date.issued2010-04
dc.identifier.citationLi, S.-Y.,Tang, L.-C.,Ng, S.-H. (2010-04). Nonparametric CUSUM and EWMA control charts for detecting mean shifts. Journal of Quality Technology 42 (2) : 209-226. ScholarBank@NUS Repository.
dc.identifier.issn00224065
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/63205
dc.description.abstractNonparametric control charts are useful when the underlying process distribution is not likely to be normal or is unknown. In this paper, we propose two nonparametric analogs of the CUSUM and EWMA control charts based on the Wilcoxon rank-sum test for detecting process mean shifts. We first derive the run-length distributions of the proposed control charts and then compare the performance of the proposed nonparametric charts to (1) CUSUM and EWMA control charts on subgroup means and (2) the median chart and the Shewhart-type nonparametric control chart based on Mann-Whitney test. We show that the charts proposed herein perform well in detecting step mean shifts and perform almost the same as the parametric counterparts when the underlying process output follows a normal distribution and better when the output is nonnormal. We also study the effect of the reference sample size and the subgroup size on the performance of the proposed charts. A numerical example is also given as an illustration of the design and implementation of the proposed charts.
dc.sourceScopus
dc.subjectDistribution-free control charts
dc.subjectQuality control
dc.subjectRun-length distribution
dc.subjectStatistical process control
dc.subjectWilcoxon rank-sum test
dc.typeArticle
dc.contributor.departmentINDUSTRIAL & SYSTEMS ENGINEERING
dc.description.sourcetitleJournal of Quality Technology
dc.description.volume42
dc.description.issue2
dc.description.page209-226
dc.description.codenJQUTA
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.

Page view(s)

102
checked on Dec 1, 2019

Google ScholarTM

Check


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