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    <journal-meta>
      <journal-id journal-id-type="nlm-ta">REA Press</journal-id>
      <journal-id journal-id-type="publisher-id">Null</journal-id>
      <journal-title>REA Press</journal-title><issn pub-type="ppub">3042-3066</issn><issn pub-type="epub">3042-3066</issn><publisher>
      	<publisher-name>REA Press</publisher-name>
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    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">https://doi.org/10.48313/scodm.vi.65</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Research Article</subject>
        </subj-group>
        <subj-group><subject>Multi-criteria decision making, Sustainable supply chain, Supplier selection, Analytical hierarchy process, TOPKOR method.</subject></subj-group>
      </article-categories>
      <title-group>
        <article-title>Multi-Criteria Decision-Making Framework for Supplier Selection in the Power Industry: A Case Study of the Mazandaran Regional Electricity Company</article-title><subtitle>Multi-Criteria Decision-Making Framework for Supplier Selection in the Power Industry: A Case Study of the Mazandaran Regional Electricity Company</subtitle></title-group>
      <contrib-group><contrib contrib-type="author">
	<name name-style="western">
	<surname>Khorasanipour</surname>
		<given-names>Saba </given-names>
	</name>
	<aff>Department of Industrial Engineering, Faculty of Mechanical Engineering, Semnan University, Semnan, Iran.</aff>
	</contrib><contrib contrib-type="author">
	<name name-style="western">
	<surname>Beheshtinia </surname>
		<given-names>Mohammad Ali</given-names>
	</name>
	<aff>Department of Industrial Engineering, Faculty of Mechanical Engineering, Semnan University, Semnan, Iran.</aff>
	</contrib></contrib-group>		
      <pub-date pub-type="ppub">
        <month>08</month>
        <year>2026</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>25</day>
        <month>08</month>
        <year>2026</year>
      </pub-date>
      <volume>3</volume>
      <issue>3</issue>
      <permissions>
        <copyright-statement>© 2026 REA Press</copyright-statement>
        <copyright-year>2026</copyright-year>
        <license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/2.5/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</p></license>
      </permissions>
      <related-article related-article-type="companion" vol="2" page="e235" id="RA1" ext-link-type="pmc">
			<article-title>Multi-Criteria Decision-Making Framework for Supplier Selection in the Power Industry: A Case Study of the Mazandaran Regional Electricity Company</article-title>
      </related-article>
	  <abstract abstract-type="toc">
		<p>
			In the power industry, selecting appropriate suppliers plays a significant role in improving performance, increasing reliability, and reducing costs. This study aims to develop evaluation criteria and rank suppliers in the electricity industry. In the first step, the effective criteria for supplier evaluation were identified through a literature review and expert opinions. Then, the weights and importance of these criteria were determined using the Analytical Hierarchy Process (AHP). Subsequently, seven suppliers of the Mazandaran Regional Electricity Company were selected as alternative options and ranked using the fuzzy TOPKOR method. The results showed that a total of 33 criteria are effective in evaluating suppliers in the power industry, among which quality, reliability, and on-time delivery were identified as the most important criteria, respectively. The final ranking results also determined the order of the suppliers. The findings of this study can serve as a practical guideline for decision-making in supplier selection and evaluation in the power industry.
		</p>
		</abstract>
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