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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
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