<?xml version='1.0' encoding='utf-8'?>
<?xml-stylesheet type="text/xsl" href="/v2/static/oai2.xsl"?>
<OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd">
  <responseDate>2026-10-15T09:20:02Z</responseDate>
  <request identifier="oai:figshare.com:article/31378309" metadataPrefix="oai_dc" verb="GetRecord">https://api.figshare.com/v2/oai</request>
  <GetRecord>
    <record>
      <header>
        <identifier>oai:figshare.com:article/31378309</identifier>
        <datestamp>2026-05-29T14:04:03Z</datestamp>
        <setSpec>category_25576</setSpec>
        <setSpec>portal_753</setSpec>
        <setSpec>item_type_3</setSpec>
        <setSpec>month_year_05_2026</setSpec>
      </header>
      <metadata>
        <oai_dc:dc xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"  xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Supply chain resilience (SCR) and its evolution study</dc:title>
          <dc:creator>Estella Boshoff (23223610)</dc:creator>
          <dc:subject>Supply chains</dc:subject>
          <dc:subject>Supply chain</dc:subject>
          <dc:subject>Logistics</dc:subject>
          <dc:subject>Supply chain resilience</dc:subject>
          <dc:subject>Simulation data</dc:subject>
          <dc:subject>Post-pandemic era</dc:subject>
          <dc:description>&lt;p dir="ltr"&gt;This data was used to set up and run scenarios to test the effectiveness of different interventions at improving supply chain resilience under several different disruption conditions. For each scenario, financial metrics, maximum lead time, time to recover, and service level were collected. A case study was used to simulate and compare the effectiveness of a range of interventions on the resilience of a supply chain under disruption. As part of the literature review, a total of 1480 articles were reviewed, with 233 considered relevant to this study.&lt;/p&gt;</dc:description>
          <dc:date>2026-05-29T14:04:03Z</dc:date>
          <dc:type>Dataset</dc:type>
          <dc:type>Dataset</dc:type>
          <dc:identifier>10.25403/UPresearchdata.31378309.v1</dc:identifier>
          <dc:relation>https://figshare.com/articles/dataset/Supply_chain_resilience_SCR_and_its_evolution_study/31378309</dc:relation>
          <dc:rights>CC BY 4.0</dc:rights>
        </oai_dc:dc>
      </metadata>
    </record>
  </GetRecord>
</OAI-PMH>
