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dc.contributor.authorPérez Domínguez, Luis
dc.date.accessioned2025-07-25T18:17:57Z
dc.date.available2025-07-25T18:17:57Z
dc.date.issued2025-02-10es_MX
dc.identifier.urihttps://cathi.uacj.mx/20.500.11961/31332
dc.description.abstractThe evaluation of supply chain performance has gained significant relevance due to recent events that have transformed its operational dynamics, as well as the advent of Industry 5.0. This new era introduces advanced technologies, such as digital twins, which, when combined with multicriteria models, can identify and prioritize key factors to enhance performance evaluation. These tools have the potential to optimize strategic decision-making in an increasingly dynamic and competitive environment. Methods: A systematic literature review was conducted following the PRISMA framework, analyzing 45 articles published between 2019 and 2024. The sources included scientific databases such as SCOPUS and Web of Science. The search employed terms related to multicriteria models, supply chain, Industry 4.0, and digital twins. Articles were selected based on predefined inclusion and exclusion criteria. Results: Findings revealed that multicriteria methods are widely used to evaluate efficiency, sustainability, and resilience in supply chains. Additionally, digital twins emerged as key tools for real-time monitoring, risk management, and process simulation. However, technological, financial, and regulatory barriers were identified, hindering their practical implementation. Conclusions: The combination of advanced technologies with multicriteria approaches represents a promising solution for improving supply chain performance. Future research should focus on developing hybrid models, promoting organizational training, and establishing international standards to ensure effective adoption. These initiatives will enable organizations to address the challenges of an increasingly complex global environment, strengthening the resilience and sustainability of supply chains.es_MX
dc.description.urihttps://dm.ageditor.ar/index.php/dm/article/view/619es_MX
dc.language.isoenes_MX
dc.relation.ispartofProducto de investigación IITes_MX
dc.relation.ispartofInstituto de Ingeniería y Tecnologíaes_MX
dc.rightsAtribución-NoComercial-SinDerivadas 2.5 México*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/2.5/mx/*
dc.subjectMulticriteria Decision-Makinges_MX
dc.subjectSupply Chaines_MX
dc.subjectIndustry 4es_MX
dc.subjectIndustry 5es_MX
dc.subjectDigital Twinses_MX
dc.subject.otherinfo:eu-repo/classification/cti/7es_MX
dc.titleThe role of multicriteria decision making in the supply chain: Literature reviewes_MX
dc.typeArtículoes_MX
dcterms.thumbnailhttp://ri.uacj.mx/vufind/thumbnails/rupiiit.pnges_MX
dcrupi.institutoInstituto de Ingeniería y Tecnologíaes_MX
dcrupi.cosechableSies_MX
dcrupi.volumen4es_MX
dcrupi.nopagina1-12es_MX
dc.identifier.doihttps://doi.org/10.56294/dm2025619es_MX
dc.contributor.coauthorLuviano Cruz, David
dc.contributor.coauthorRomero Lopez, Roberto
dc.contributor.alumno251031es_MX
dc.journal.titleData and Metadataes_MX
dc.contributor.authorexternoHolguin Avila, Alejandra
dc.contributor.alumnoprincipal251031es_MX
dcrupi.impactosocialFormacion de recursos Humanoses_MX
dcrupi.pronacesNingunoes_MX


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