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dc.contributor.author
Vinci Carlavan, Guido  
dc.contributor.author
Rossit, Daniel Alejandro  
dc.date.available
2022-11-10T02:12:02Z  
dc.date.issued
2022  
dc.identifier.citation
Personalized production in Industry 4.0: a CONWIP approach; 2022 International Conference on Decision Aid Sciences and Applications; Chiangrai; Tailandia; 2022; 670-675  
dc.identifier.isbn
978-1-6654-9501-1  
dc.identifier.uri
http://hdl.handle.net/11336/177178  
dc.description.abstract
Production technologies based on Industry 4.0 allow the capacity and flexibility of production systems to be increased, enabling mass customization of production. In this work, a production problem is considered where the customization of production is extreme, resulting in unique products. This type of production is known as One-of-a-Kind Production (OKP). Naturally, this type of production places great demands on the planning system, since the standardization of production is reduced to a minimum. In this sense, it is proposed to use a production control strategy based on CONWIP, which seeks to maintain the level of work-in-progress at constant levels. In turn, to improve the performance of the CONWIP strategy, new dispatch rules are studied and designed to improve the level of service provided to the client.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Institute of Electrical and Electronics Engineers  
dc.rights
info:eu-repo/semantics/restrictedAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
ONE-OF-A-KIND PRODUCTION  
dc.subject
CONWIP  
dc.subject
SCHEDULING  
dc.subject
DISPATCHING RULES  
dc.subject
JOB SHOP  
dc.subject.classification
Otras Ingenierías y Tecnologías  
dc.subject.classification
Otras Ingenierías y Tecnologías  
dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS  
dc.title
Personalized production in Industry 4.0: a CONWIP approach  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.type
info:eu-repo/semantics/conferenceObject  
dc.type
info:ar-repo/semantics/documento de conferencia  
dc.date.updated
2022-10-24T13:22:57Z  
dc.journal.pagination
670-675  
dc.journal.pais
Tailandia  
dc.journal.ciudad
Chiangrai  
dc.description.fil
Fil: Vinci Carlavan, Guido. Universidad Nacional del Sur. Departamento de Ingeniería; Argentina  
dc.description.fil
Fil: Rossit, Daniel Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Matemática Bahía Blanca. Universidad Nacional del Sur. Departamento de Matemática. Instituto de Matemática Bahía Blanca; Argentina. Universidad Nacional del Sur. Departamento de Ingeniería; Argentina  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://ieeexplore.ieee.org/document/9765135  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/ 10.1109/DASA54658.2022.9765135  
dc.conicet.rol
Autor  
dc.conicet.rol
Autor  
dc.conicet.nroedicion
2022  
dc.coverage
Internacional  
dc.type.subtype
Conferencia  
dc.description.nombreEvento
2022 International Conference on Decision Aid Sciences and Applications  
dc.date.evento
2022-03-23  
dc.description.ciudadEvento
Chiangrai  
dc.description.paisEvento
Tailandia  
dc.type.publicacion
Book  
dc.description.institucionOrganizadora
Mahe Fah Luang University  
dc.source.libro
2022 International Conference on Decision Aid Sciences and Applications  
dc.date.eventoHasta
2022-03-25  
dc.type
Conferencia