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<Article>
<Journal>
				<PublisherName>Morvarid Derakhshan Andisheh</PublisherName>
				<JournalTitle>Journal of Quality Engineering and Management</JournalTitle>
				<Issn>3134-0849</Issn>
				<Volume>7</Volume>
				<Issue>2</Issue>
				<PubDate PubStatus="epublish">
					<Year>2017</Year>
					<Month>08</Month>
					<Day>23</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Statistical-economic design of X ̅ control chart under the newly generalized two-parameter Weibull shock model</ArticleTitle>
<VernacularTitle>Statistical-economic design of X ̅ control chart under the newly generalized two-parameter Weibull shock model</VernacularTitle>
			<FirstPage>129</FirstPage>
			<LastPage>139</LastPage>
			<ELocationID EIdType="pii">75372</ELocationID>
			
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Bashir</FirstName>
					<LastName>Amini</LastName>
<Affiliation>Master, Department of Statistics, Faculty of Economics, Allameh Tabatabai University, Tehran, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Mohammad</FirstName>
					<LastName>Bamenimoghadam</LastName>
<Affiliation>Professor, Department of Statistics, Faculty of Economics, Allameh Tabatabai University, Tehran, Iran</Affiliation>
<Identifier Source="ORCID">0000-0003-1324-8024</Identifier>

</Author>
<Author>
					<FirstName>Samaneh</FirstName>
					<LastName>Eftekhari</LastName>
<Affiliation>Master, Department of Statistics, Faculty of Economics, Allameh Tabatabai University, Tehran, Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2018</Year>
					<Month>10</Month>
					<Day>24</Day>
				</PubDate>
			</History>
		<Abstract>The main function of a control chart is to help manage the detection of various sources of variability in a production process. Control charts are also widely used in the industry as a tool to monitor a production process to improve product quality. The most common control chart with one characteristic in mind is the control chart. In this paper, we propose and present an economic design model and statistical-economic design in order to optimally design control charts by considering the new generalized two-parameter Weibull distribution as a process failure mechanism. . From the comparison, we conclude that the statistical-economic model is better but more expensive than the economic model in terms of achieving the statistical properties of the desired control chart.</Abstract>
			<OtherAbstract Language="FA">The main function of a control chart is to help manage the detection of various sources of variability in a production process. Control charts are also widely used in the industry as a tool to monitor a production process to improve product quality. The most common control chart with one characteristic in mind is the control chart. In this paper, we propose and present an economic design model and statistical-economic design in order to optimally design control charts by considering the new generalized two-parameter Weibull distribution as a process failure mechanism. . From the comparison, we conclude that the statistical-economic model is better but more expensive than the economic model in terms of achieving the statistical properties of the desired control chart.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Control chart</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Statistical-economic design</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">New generalized two-parameter Weibull distribution</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Failure mechanism</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Pit-shaped</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://www.pqprc.ir/article_75372_0a539951d06b03278cd4203532d06142.pdf</ArchiveCopySource>
</Article>
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