<?xml version="1.0" encoding="utf-8"?>
<journal>
<title>international journal of industrial Engineering &amp; Production Research</title>
<title_fa>نشریه بین المللی مهندسی صنایع و تحقیقات تولید</title_fa>
<short_title>IJIEPR</short_title>
<subject>Engineering &amp; Technology</subject>
<web_url>http://ijiepr.iust.ac.ir</web_url>
<journal_hbi_system_id>18</journal_hbi_system_id>
<journal_hbi_system_user>agent2</journal_hbi_system_user>
<journal_id_issn>2008-4889</journal_id_issn>
<journal_id_issn_online>2345-363X</journal_id_issn_online>
<journal_id_pii></journal_id_pii>
<journal_id_doi></journal_id_doi>
<journal_id_iranmedex></journal_id_iranmedex>
<journal_id_magiran></journal_id_magiran>
<journal_id_sid></journal_id_sid>
<journal_id_nlai></journal_id_nlai>
<journal_id_science></journal_id_science>
<language>en</language>
<pubdate>
	<type>jalali</type>
	<year>1390</year>
	<month>6</month>
	<day>1</day>
</pubdate>
<pubdate>
	<type>gregorian</type>
	<year>2011</year>
	<month>9</month>
	<day>1</day>
</pubdate>
<volume>22</volume>
<number>3</number>
<publish_type>online</publish_type>
<publish_edition>1</publish_edition>
<article_type>fulltext</article_type>
<articleset>
	<article>


	<language>en</language>
	<article_id_doi></article_id_doi>
	<title_fa></title_fa>
	<title>Designing a Single Stage Acceptance Sampling Plan Based on the Control Threshold Poli</title>
	<subject_fa>و موضوعات مربوط</subject_fa>
	<subject>Other Related Subject</subject>
	<content_type_fa>پژوهشي</content_type_fa>
	<content_type>Research</content_type>
	<abstract_fa></abstract_fa>
	<abstract>&lt;p&gt; &lt;em&gt;In this research, a new control policy for the acceptance sampling problem is introduced. Decision is made based on the number of defectives items in an inspected batch. The objective of the model is to find a constant control level that minimizes &lt;/em&gt;&lt;a name=&quot;OLE_LINK4&quot;&gt;&lt;/a&gt;&lt;a name=&quot;OLE_LINK3&quot;&gt;&lt;em&gt;the total costs, including the cost of rejecting the batch, the cost of inspection and the cost of defective items. The optimization is performed by approximating the negative binomial distribution with Poisson distribution and using the properties of binomial distribution. &lt;/em&gt;&lt;/a&gt;&lt;em&gt;A solution method along with numerical demonstration on the application of the proposed methodology is presented. Furthermore, the results of sensitivity analysis show that the proposed method needs a large sample size . &lt;/em&gt;&lt;/p&gt;</abstract>
	<keyword_fa></keyword_fa>
	<keyword> Quality Control, Acceptance Sampling Model, Control Threshold Policy</keyword>
	<start_page>143</start_page>
	<end_page>150</end_page>
	<web_url>http://ijiepr.iust.ac.ir/browse.php?a_code=A-10-269-3&amp;slc_lang=en&amp;sid=1</web_url>


<author_list>
	<author>
	<first_name>Mohammad Saber </first_name>
	<middle_name></middle_name>
	<last_name>FallahNezhad</last_name>
	<suffix></suffix>
	<first_name_fa></first_name_fa>
	<middle_name_fa></middle_name_fa>
	<last_name_fa></last_name_fa>
	<suffix_fa></suffix_fa>
	<email>fallahnezhad@yazduni.ac.ir</email>
	<code>180031947532846001368</code>
	<orcid>180031947532846001368</orcid>
	<coreauthor>Yes
</coreauthor>
	<affiliation>Department of Industrial Engineering, Faculty of Engineering, Yazd University, Yazd, Iran</affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


	<author>
	<first_name>Hasan </first_name>
	<middle_name></middle_name>
	<last_name>Hosseini Nasab</last_name>
	<suffix></suffix>
	<first_name_fa></first_name_fa>
	<middle_name_fa></middle_name_fa>
	<last_name_fa></last_name_fa>
	<suffix_fa></suffix_fa>
	<email></email>
	<code>180031947532846001369</code>
	<orcid>180031947532846001369</orcid>
	<coreauthor>No</coreauthor>
	<affiliation>Department of industrial Engineering, Faculty of Engineering, Yazd University, Yazd, Iran</affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


</author_list>


	</article>
</articleset>
</journal>
