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Multi-criteria risk classification to enhance complex supply networks performance

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Multi-criteria risk classification to enhance complex supply networks performance

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dc.contributor.author Carpitella, Silvia es_ES
dc.contributor.author Mzougui, Ilyas es_ES
dc.contributor.author Izquierdo Sebastián, Joaquín es_ES
dc.date.accessioned 2023-02-21T19:02:07Z
dc.date.available 2023-02-21T19:02:07Z
dc.date.issued 2022-09 es_ES
dc.identifier.issn 0030-3887 es_ES
dc.identifier.uri http://hdl.handle.net/10251/191983
dc.description.abstract [EN] Management of complex supply networks is a fundamental business topic today. Especially in the presence of many and diverse stakeholders, identifying and assessing those risks having a potential negative impact on the performance of supply processes is of utmost importance and, as a result, implementing focused risk management actions is a current lively field of research. The possibility of supporting Supply Chain Risks Management (SCRM) is herein explored from a Multi-Criteria Decision-Making (MCDM)-based perspective. The sorting method ELimination Et Choix Traduisant la REalite (ELECTRE) TRI is proposed as a structural procedure to classify Supply Chain Risks (SCRs) into proper risk classes expressing priority of intervention so as to ease the implementation of prevention and protection measures. This approach is intended to offer structured management insights by means of an immediate identification of the most highly critical risks in a wide set of previously identified SCRs. A real-world case study in the field of the automotive industry is implemented to show the applicability and usefulness of the approach. es_ES
dc.language Inglés es_ES
dc.publisher Springer-Verlag es_ES
dc.relation.ispartof OPSEARCH es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Supply chain risk es_ES
dc.subject Supply chain management es_ES
dc.subject Multi-criteria decision-making es_ES
dc.subject ELECTRE TRI es_ES
dc.subject.classification MATEMATICA APLICADA es_ES
dc.title Multi-criteria risk classification to enhance complex supply networks performance es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1007/s12597-021-00568-8 es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros de Telecomunicación - Escola Tècnica Superior d'Enginyers de Telecomunicació es_ES
dc.description.bibliographicCitation Carpitella, S.; Mzougui, I.; Izquierdo Sebastián, J. (2022). Multi-criteria risk classification to enhance complex supply networks performance. OPSEARCH. 59(3):769-785. https://doi.org/10.1007/s12597-021-00568-8 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1007/s12597-021-00568-8 es_ES
dc.description.upvformatpinicio 769 es_ES
dc.description.upvformatpfin 785 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 59 es_ES
dc.description.issue 3 es_ES
dc.relation.pasarela S\448775 es_ES
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