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A control engineering approach to the ripple effect analysis in closed-loop supply chains

dc.contributor.authorArquer, María de
dc.contributor.authorPonte Blanco, Borja 
dc.contributor.authorPino Díez, Raúl 
dc.contributor.authorFuente García, David Alfonso de la 
dc.date.accessioned2024-10-09T06:18:11Z
dc.date.available2024-10-09T06:18:11Z
dc.date.issued2023
dc.identifier.isbn979-835032759-5
dc.identifier.urihttps://hdl.handle.net/10651/74883
dc.descriptionCongress in Computer Science, Computer Engineering, and Applied Computing, CSCE (2023. Las Vegas, USA)
dc.description.sponsorshipThe authors deeply appreciate the financial support received from the State Research Agency (MCIN/AEI/10.13039/501100011033), of the Spanish Ministry of Science and Innovation, via the project ‘SPeeding Up the transition towards Resilient circular economy networks: forecasting, inventory and production control, reverse logistics and supply chain dynamics’ (SPUR, grant ref. PID2020-117021GB-I00).
dc.format.extentp. 446-450
dc.language.isoeng
dc.relation.ispartofProceedings - 2023 Congress in Computer Science, Computer Engineering, and Applied Computing, CSCE 2023
dc.rights© 2023 IEEE
dc.sourceScopus
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85191169491&doi=10.1109%2fCSCE60160.2023.00080&partnerID=40&md5=08598d77126fd345013c35e4120e1c79
dc.titleA control engineering approach to the ripple effect analysis in closed-loop supply chains
dc.typeconference output
dc.identifier.doi10.1109/CSCE60160.2023.00080
dc.relation.projectIDPID2020-117021GB-I00
dc.relation.publisherversionhttp://dx.doi.org/10.1109/CSCE60160.2023.00080


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