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<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/"><rdf:Description rdf:about="https://repozitorij.uni-lj.si/IzpisGradiva.php?id=167431"><dc:title>Designing a use case for supply chain resilience based on process mining</dc:title><dc:creator>Sekulovska,	Angela	(Avtor)
	</dc:creator><dc:creator>Morelli,	Frank	(Avtor)
	</dc:creator><dc:creator>Siurdyban,	Artur	(Avtor)
	</dc:creator><dc:creator>Manfreda,	Anton	(Avtor)
	</dc:creator><dc:creator>Schätter,	Frank	(Avtor)
	</dc:creator><dc:subject>supply chain resilience management</dc:subject><dc:subject>process mining</dc:subject><dc:subject>SCOR model</dc:subject><dc:subject>key resilience areas</dc:subject><dc:subject>design science research</dc:subject><dc:description>Amidst global disruptions, the significance of Supply Chain Resilience (SCR) has surged in scholarly and practical discourse. This paper endeavors to craft an industry-neutralconceptual dashboard, tailored for in-house consultants, to measureand oversee SCR. Drawing from the SCOR model's resilience metrics, Key Resilience Areas (KRAs), and Accenture's SCR application, this study presents a practical use case for deploying such a dashboard. Expert evaluation by process mining and supply chain specialists highlighted potential enhancements for the dashboard.</dc:description><dc:date>2023</dc:date><dc:date>2025-02-21 11:31:00</dc:date><dc:type>Članek v reviji</dc:type><dc:identifier>167431</dc:identifier><dc:language>sl</dc:language></rdf:Description></rdf:RDF>