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dc.contributor.author
Rodriguez, Maria Analia
dc.contributor.author
Novas, Juan Matias
dc.contributor.other
Hussain, Chaudhery Mustansar
dc.contributor.other
Rossit, Daniel Alejandro
dc.date.available
2024-11-20T15:50:36Z
dc.date.issued
2023
dc.identifier.citation
Rodriguez, Maria Analia; Novas, Juan Matias; Characterizing nervousness at the shop-floor level in the context of Industry 4.0; Academic Press Inc Elsevier Science; 2023; 279-309
dc.identifier.isbn
978-0-323-99208-4
dc.identifier.uri
http://hdl.handle.net/11336/248365
dc.description.abstract
Manufacturing systems are shifting from nonflexible to dynamic, self-aware, and self-adaptable ones. Scheduling systems, as the production activities' core, are turning online, with response capabilities. Nevertheless, even when immediate rescheduling actions are performed each time a disruption occurs, aimed at getting a new feasible and/or good quality solution, this adaptation-to-change response mechanism might not be well accepted on the shop floor. Repeated changes could lead to a continuous rearrangement of predefined manufacturing plans through different levels, from MRP to the control system. Traditionally, this behavior is known as schedule nervousness (SN). There are many contributions about nervousness at the planning level, as well as recent advances tackling it at the control level. Yet, further specification of nervousness happening at the shop floor (Shop-Floor Schedule Nervousness, SFSN), where a short-term on-going schedule drives the production, is needed. In this chapter, the SFSN issue is identified, characterized, and a first SFSN framework is proposed.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Academic Press Inc Elsevier Science
dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
SCHEDULNG NERVOUSNESS
dc.subject
SCHEDULING STABILITY
dc.subject
SMART SCHEDULING
dc.subject
INDUSTRY 4.0
dc.subject.classification
Otras Ingeniería Eléctrica, Ingeniería Electrónica e Ingeniería de la Información
dc.subject.classification
Ingeniería Eléctrica, Ingeniería Electrónica e Ingeniería de la Información
dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS
dc.title
Characterizing nervousness at the shop-floor level in the context of Industry 4.0
dc.type
info:eu-repo/semantics/publishedVersion
dc.type
info:eu-repo/semantics/bookPart
dc.type
info:ar-repo/semantics/parte de libro
dc.date.updated
2024-11-19T15:20:02Z
dc.journal.pagination
279-309
dc.journal.pais
Estados Unidos
dc.description.fil
Fil: Rodriguez, Maria Analia. Universidad Nacional de Córdoba. Instituto de Investigación y Desarrollo en Ingeniería de Procesos y Química Aplicada. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigación y Desarrollo en Ingeniería de Procesos y Química Aplicada; Argentina
dc.description.fil
Fil: Novas, Juan Matias. Universidad Tecnológica Nacional. Facultad Regional Córdoba; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Centro de Investigación y Estudios de Matemática. Universidad Nacional de Córdoba. Centro de Investigación y Estudios de Matemática; Argentina
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/abs/pii/B9780323992084000210
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://doi.org/10.1016/B978-0-32-399208-4.00021-0
dc.conicet.paginas
420
dc.source.titulo
Designing Smart Manufacturing Systems
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