Please use this identifier to cite or link to this item: https://ah.lib.nccu.edu.tw/handle/140.119/63780
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dc.contributor統計系en_US
dc.creator楊素芬zh_TW
dc.creatorYang, Chih-Ching; Yang, Su-Fenen_US
dc.date2013.10en_US
dc.date.accessioned2014-02-11T06:01:23Z-
dc.date.available2014-02-11T06:01:23Z-
dc.date.issued2014-02-11T06:01:23Z-
dc.identifier.urihttp://nccur.lib.nccu.edu.tw/handle/140.119/63780-
dc.description.abstractThe deployment of statistical process control in the service process is a prominent global phenomenon in recent years. In this paper, we proposed the optimal variable sample size and sampling interval (VSSI) mean square error (MSE) control chart to monitor the difference between the process mean and the target value and the process variation shifts, and its performance is measured by the average time to signal. From data analyses, we found the optimal VSSI MSE chart that performs better than the specific VSSI and the optimal variable sampling interval and the fixed parameters MSE charts. An example was given to illustrate this new proposed approach. [ABSTRACT FROM PUBLISHER]en_US
dc.format.extent238 bytes-
dc.format.mimetypetext/html-
dc.language.isoen_US-
dc.relationThe Service Industries Journal, 33(6), 652-665en_US
dc.subjectservice process; statistical process control; sample size; sampling intervalen_US
dc.titleOptimal variable sample size and sampling interval ‘mean squared error’ chart.en_US
dc.typearticleen
dc.identifier.doi10.1080/02642069.2011.614345en_US
dc.doi.urihttp://dx.doi.org/10.1080/02642069.2011.614345en_US
item.grantfulltextrestricted-
item.openairetypearticle-
item.fulltextWith Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.languageiso639-1en_US-
item.cerifentitytypePublications-
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