Please use this identifier to cite or link to this item:
https://doi.org/10.1080/00207543.2011.649305
DC Field | Value | |
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dc.title | An improved self-starting cumulative count of conforming chart for monitoring high-quality processes under group inspection | |
dc.contributor.author | Zhang, C.W. | |
dc.contributor.author | Xie, M. | |
dc.contributor.author | Jin, T. | |
dc.date.accessioned | 2014-06-17T06:59:06Z | |
dc.date.available | 2014-06-17T06:59:06Z | |
dc.date.issued | 2012-12-01 | |
dc.identifier.citation | Zhang, C.W., Xie, M., Jin, T. (2012-12-01). An improved self-starting cumulative count of conforming chart for monitoring high-quality processes under group inspection. International Journal of Production Research 50 (23) : 7026-7043. ScholarBank@NUS Repository. https://doi.org/10.1080/00207543.2011.649305 | |
dc.identifier.issn | 00207543 | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/63007 | |
dc.description.abstract | The cumulative count of conforming (CCC) chart as a main statistical process control tool for monitoring high-quality processes has been widely studied. However, its applicability is limited to situations where units of product are inspected sequentially, or item by item. Motivated by real-life problems, this paper proposes an improved control charting technique for high-quality processes under group inspection. It integrates a self-starting feature and an approximately ARL- (average run length) unbiased design. The chart, named the CCCG chart, monitors the cumulative count of conforming samples until a non-conforming one is encountered. The G in the subscript stands for Group. The self-starting feature caters to the need in practice to start monitoring a production process as soon as possible. The approximately ARL-unbiased design is developed to significantly improve the chart's sensitivity to process deterioration compared with the conventional design. The performance of the CCCG chart in phase I when the control limits are sequentially updated has been examined. Simulated data examples are presented to demonstrate the use and efficiency of the proposed technique. The CCCG chart is a natural generalisation of the traditional CCC chart and thus includes the latter as a special case. © 2012 Copyright Taylor and Francis Group, LLC. | |
dc.description.uri | http://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1080/00207543.2011.649305 | |
dc.source | Scopus | |
dc.subject | ARL-unbiased | |
dc.subject | control chart | |
dc.subject | cumulative conformance count | |
dc.subject | high-quality process | |
dc.subject | self-starting | |
dc.type | Article | |
dc.contributor.department | INDUSTRIAL & SYSTEMS ENGINEERING | |
dc.description.doi | 10.1080/00207543.2011.649305 | |
dc.description.sourcetitle | International Journal of Production Research | |
dc.description.volume | 50 | |
dc.description.issue | 23 | |
dc.description.page | 7026-7043 | |
dc.description.coden | IJPRB | |
dc.identifier.isiut | 000310597000028 | |
Appears in Collections: | Staff Publications |
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