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  <doi_batch_id>aspg-1-1313-1791417622</doi_batch_id>
  <timestamp>20261008000022</timestamp>
  <depositor>
   <depositor_name>American Scientific Publishing Group</depositor_name>
   <email_address>admin@americaspg.com</email_address>
  </depositor>
  <registrant>American Scientific Publishing Group</registrant>
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  <journal>
   <journal_metadata language="en">
    <full_title>American Journal of Business and Operations Research</full_title>
    <abbrev_title>AJBOR</abbrev_title>
    <issn media_type="print">2770-0216</issn>
    <issn media_type="electronic">2692-2967</issn>
   </journal_metadata>
   <journal_issue>
    <publication_date media_type="online">
     <year>2022</year>
    </publication_date>
    <journal_volume>
     <volume>7</volume>
    </journal_volume>
    <issue>2</issue>
   </journal_issue>
   <journal_article publication_type="full_text">
    <titles>
     <title>Multi-Criteria Decision-Making Approach based on Neutrosophic Sets for Evaluating Sustainable Supplier Selection in the Industrial 4.0</title>
    </titles>
    <contributors>
     <person_name sequence="first" contributor_role="author">
      <given_name>Mahmoud</given_name>
      <surname>Ismail</surname>
      <affiliations>
       <institution>
        <institution_name>Faculty of Computers and Informatics, Zagazig University, Sharqiyah, Egypt</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Mahmoud</given_name>
      <surname>Ibrahiem</surname>
      <affiliations>
       <institution>
        <institution_name>Faculty of Computers and Informatics, Zagazig University, Sharqiyah, Egypt</institution_name>
       </institution>
      </affiliations>
     </person_name>
    </contributors>
    <jats:abstract>
     <jats:p>Sustainability in supply chain management can be achieved by integrating its applications with Industry 4.0 platforms. Considering the Sustainability and Industry 4.0 criteria for supplier selection, this research creates a new integrated model to improve the performance of the applicatios. The choice of suppliers is evaluated using a two-stage neutrosophic sets and the EDAS method. The first step of this research is to define all of the terms associated with Industry 4.0 and Sustainability. The neutrosophic EDAS determines the relative relevance of each criterion. The neutrosophic VIKOR method is used to rank the suppliers. The suppliers' performance in meeting the sustainability and Industry 4.0 standards is then nominated in a two-stage neutrosophic sets. A case study of a textile firm is offered to illustrate the usefulness of our integrated approach. The effectiveness of the suggested integrated method is then evaluated via a series of sensitivity assessments. Of the things we learned was that it's best to build a decision-making framework that uses Industry 4.0 and sustainability criteria to assess suppliers individually rather than in a relative fashion in a hazy setting.</jats:p>
    </jats:abstract>
    <publication_date media_type="online">
     <year>2022</year>
    </publication_date>
    <pages>
     <first_page>41</first_page>
     <last_page>55</last_page>
    </pages>
    <publisher_item>
     <item_number item_number_type="article-number">1313</item_number>
    </publisher_item>
    <ai:program name="AccessIndicators">
     <ai:license_ref applies_to="vor">https://creativecommons.org/licenses/by/4.0/</ai:license_ref>
    </ai:program>
    <doi_data>
     <doi>10.54216/AJBOR.070204</doi>
     <resource>https://www.americaspg.com/journal/1/article/1313</resource>
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       <resource mime_type="application/pdf">https://www.americaspg.com/storage/11761782372.pdf</resource>
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