Multi-agent system for steel manufacturing process

dc.creatorRicardo Rodríguez, Angel Raúl
dc.creatorBenítez, Israel F
dc.creatorGonzález Yero, Guillermo
dc.creatorNúñez Alvarez, José Ricardo
dc.date2022-03-04T13:39:49Z
dc.date2022-03-04T13:39:49Z
dc.date2022
dc.date.accessioned2023-10-03T19:45:00Z
dc.date.available2023-10-03T19:45:00Z
dc.identifier2088-8708
dc.identifierhttps://hdl.handle.net/11323/9047
dc.identifier10.11591/ijece.v12i3.pp2441-2453
dc.identifier2722-2578
dc.identifierCorporación Universidad de la Costa
dc.identifierREDICUC - Repositorio CUC
dc.identifierhttps://repositorio.cuc.edu.co/
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/9172003
dc.descriptionThis work was carried out in the company ACINOX Las Tunas, Cuba, to design an integrated automation architecture based on intelligent agents for control, monitoring, and decision-making in the production process that guarantees an improvement in planning and management of the process in the steelwork plant. The great differences of technologies and systems of each steel mill and the multiple restrictions, methods, and techniques, within a wide dynamic strongly concatenated, do not generalize automation systems feasibly. In our research, we use international research results and the experience of the plant technologists to create three levels of distributed intelligent architecture: business, production planning-control, and steel manufacturing. Each level manages to integrate and balance the particular and general interests for efficient decision-making combined between hierarchy and heterarchy in this steelwork plant, which will be reflected in a reduction of at least 99% of the time used for decision-making concerning the current system, which can lead to a decrease in refractory costs, energy consumption, and production cost. The effectiveness of the solution is demonstrated with scenario validation and expert evaluation.
dc.format13 páginas
dc.formatapplication/pdf
dc.formatapplication/pdf
dc.languageeng
dc.publisherInstitute of Advanced Engineering and Science (IAES)
dc.publisherIndonesia
dc.relationInternational Journal of Electrical and Computer Engineering (IJECE)
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dc.rightsAtribución-CompartirIgual 4.0 Internacional (CC BY-SA 4.0)
dc.rightshttps://creativecommons.org/licenses/by-sa/4.0/
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightshttp://purl.org/coar/access_right/c_abf2
dc.sourcehttp://ijece.iaescore.com/index.php/IJECE/article/view/25786/15621
dc.subjectAgents
dc.subjectArtificial intelligence
dc.subjectDecision support systems
dc.subjectIntegrated manufacturing
dc.subjectIntelligent control
dc.titleMulti-agent system for steel manufacturing process
dc.typeArtículo de revista
dc.typehttp://purl.org/coar/resource_type/c_6501
dc.typeText
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typehttp://purl.org/redcol/resource_type/ART
dc.typeinfo:eu-repo/semantics/acceptedVersion
dc.typehttp://purl.org/coar/version/c_ab4af688f83e57aa


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