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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>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">https://doi.org/10.48313/scodm.v2i4.46</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Research Article</subject>
        </subj-group>
        <subj-group><subject>Transportation network, Perishable product supply chain, Probability, Accessibility, Multi-criteria decision-making.</subject></subj-group>
      </article-categories>
      <title-group>
        <article-title>Calculating the Access Probability of Network Arcs to Determine the Maximum Flow in Paths</article-title><subtitle>Calculating the Access Probability of Network Arcs to Determine the Maximum Flow in Paths</subtitle></title-group>
      <contrib-group><contrib contrib-type="author">
	<name name-style="western">
	<surname>Dolatyari</surname>
		<given-names>Mohsen </given-names>
	</name>
	<aff>Department of Industrial Engineering, Faculty of Industrial and Systems Engineering, Tarbiat Modares University, Tehran, Iran.</aff>
	</contrib><contrib contrib-type="author">
	<name name-style="western">
	<surname>Gholami Koldehi</surname>
		<given-names>Amin </given-names>
	</name>
	<aff>Department of Industrial Engineering, Faculty of Industrial and Systems Engineering, Tarbiat Modares University, Tehran, Iran.</aff>
	</contrib><contrib contrib-type="author">
	<name name-style="western">
	<surname>Zegordi </surname>
		<given-names>Seyed Hesamodin</given-names>
	</name>
	<aff>Department of Industrial Engineering, Faculty of Industrial and Systems Engineering, Tarbiat Modares University, Tehran, Iran.</aff>
	</contrib></contrib-group>		
      <pub-date pub-type="ppub">
        <month>02</month>
        <year>2026</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>09</day>
        <month>02</month>
        <year>2026</year>
      </pub-date>
      <volume>3</volume>
      <issue>1</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>Calculating the Access Probability of Network Arcs to Determine the Maximum Flow in Paths</article-title>
      </related-article>
	  <abstract abstract-type="toc">
		<p>
			Today, many companies are trying to reduce operating costs and improve performance to cope with severe demand fluctuations. For this purpose, optimizing the supply chain process is important and necessary to improve performance in some parameters, including financial components. Therefore, today, companies have realized that optimizing operations within the company's four walls is not enough to achieve business excellence, but to improve performance, they need the participation of suppliers in improving quality on the one hand and meeting customer demands on the other. This partnership and alliance often takes the form of a supply chain, which shows the importance of the supply chain. Considering the sanctions and their consequences on the country's economy, which make it difficult to import raw materials, an increase in exchange rates, an increase in prices, inflation, economic recession, and an increase in production costs, it is necessary to identify effective factors in optimizing the financial supply chain. This article aims to improve the financial efficiency of the supply chain and, in fact, reduce the volume of working capital of buyers and suppliers in the home appliance industry. For this purpose, the factors were identified using a descriptive method and by studying books and articles in the field of supply chain. Then, using the opinions of experts, the main and effective factors were selected using the Delphi Method. The results of this study showed that the factors effective in optimizing the financial performance of the financial supply chain include: operational risk, the threat of price fluctuations, exchange rate risk, futures contract risk, planning risk, the need to increase working capital, severe environmental changes, uncertainty about the future, exchange rate fluctuations, increased production costs, stagflation, reduction in bank facilities, interest rate risk, cost transfer to other members of the chain, risk of losing customers, cost inflation, risk of non-continuity of the firm's activity, and risk of losing suppliers.
		</p>
		</abstract>
    </article-meta>
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