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<!DOCTYPE ArticleSet PUBLIC "-//NLM//DTD PubMed 2.7//EN" "https://dtd.nlm.nih.gov/ncbi/pubmed/in/PubMed.dtd">
<ArticleSet>
<Article>
<Journal>
				<PublisherName>Sharif University of Technology</PublisherName>
				<JournalTitle>Scientia Iranica</JournalTitle>
				<Issn>1026-3098</Issn>
				<Volume>17</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2010</Year>
					<Month>06</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>An Analytic Variable Limit np Control Chart</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage></FirstPage>
			<LastPage></LastPage>
			<ELocationID EIdType="pii">3317</ELocationID>
			
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>M.</FirstName>
					<LastName>Aminnayeri</LastName>
<Affiliation>Department of Industrial Engineering,Amirkabir University of Technology</Affiliation>

</Author>
<Author>
					<FirstName>M.H.</FirstName>
					<LastName>Abooie</LastName>
<Affiliation>Department of Industrial Engineering,Amirkabir University of Technology</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2010</Year>
					<Month>07</Month>
					<Day>21</Day>
				</PubDate>
			</History>
		<Abstract>The Shewhart np control chart is often used to monitor the quantity of nonconforming, but
it is slow in detecting small deviations. This paper proposes an efficient approach to monitor the quantity
of nonconforming. The novelty of the paper is utilization of an initial belief to construct an analytic
variable limit np control chart. The proposed method uses all gathered data, sequentially. This approach
is signicantly faster than some existent eective approaches in detecting small deviations. These charts
are mainly used for evaluation of the initial setup in the process. The simulated results for the average run
length profiles demonstrate the superiority of the new approach against the standard np chart, binomial
CUSUM, binomial EWMA and moving average approach.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">np chart</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Variable limit</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Quantity of nonconforming</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Average Run Length</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://scientiairanica.sharif.edu/article_3317_ce56854bbb87ed70167f42e392938943.pdf</ArchiveCopySource>
</Article>
</ArticleSet>
