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  <doi_batch_id>aspg-40-2820-1792533449</doi_batch_id>
  <timestamp>20261020215729</timestamp>
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  <journal>
   <journal_metadata language="en">
    <full_title>Pure Mathematics for Theoretical Computer Science</full_title>
    <abbrev_title>PMTCS</abbrev_title>
    <issn media_type="electronic">2995-3162</issn>
   </journal_metadata>
   <journal_issue>
    <publication_date media_type="online">
     <year>2024</year>
    </publication_date>
    <journal_volume>
     <volume>3</volume>
    </journal_volume>
    <issue>2</issue>
   </journal_issue>
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    <titles>
     <title>Using Nonparametric Methods to Estimate Monitoring Maps Six Sigma of Vegetable Oil Production</title>
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    <contributors>
     <person_name sequence="first" contributor_role="author">
      <given_name>Sanaa Mohammed</given_name>
      <surname>Naeem</surname>
      <affiliations>
       <institution>
        <institution_name>Southern technical university, college of health&amp; medical Techniques in Basrah, Basrah, Iraq.</institution_name>
       </institution>
      </affiliations>
     </person_name>
    </contributors>
    <jats:abstract>
     <jats:p>Statistics are considered the backbone of the strategies of the quality control system, because of their important role in the use of tools, theories and analysis in these strategies. in the six sigma strategies (DMAIC) and (DMADV), each step is not without statistical methods. The study relied on the application of the statistical nonparametric methods and quantitative tools used in the Six Sigma strategy to apply the quality control performance of the research sample to improve the required quality by knowing the production derivatives and the reasons for the slowdown in the production process (Al-Moatasem Factory for Vegetable Oils), the fat line with its three sections.</jats:p>
    </jats:abstract>
    <publication_date media_type="online">
     <year>2024</year>
    </publication_date>
    <pages>
     <first_page>01</first_page>
     <last_page>10</last_page>
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    <publisher_item>
     <item_number item_number_type="article-number">2820</item_number>
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     <doi>10.54216/PMTCS.030201</doi>
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