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dc.contributor.author
Ackermann, Sergio Alfredo
dc.contributor.author
Fumero, Yanina
dc.contributor.author
Montagna, Jorge Marcelo
dc.date.available
2022-05-03T10:44:05Z
dc.date.issued
2021-01
dc.identifier.citation
Ackermann, Sergio Alfredo; Fumero, Yanina; Montagna, Jorge Marcelo; Incorporating batching decisions and operational constraints into the scheduling problem of multisite manufacturing environments; Growing Science; International Journal of Industrial Engineering Computations; 12; 1-2021; 345-364
dc.identifier.issn
1923-2926
dc.identifier.uri
http://hdl.handle.net/11336/156312
dc.description.abstract
In multisite production environments, the appropriate management of production resources is an activity of fundamental relevance to optimally respond to market demands. In particular, each production facility can operate with different policies according to its objectives, prioritizing the quality and standardization of the product, customer service, or the overall efficiency of the system; goals which must be taken into account when planning the production of the entire complex. At the operational level, in order to achieve an efficient operation of the production system, the integrated problem of batching and scheduling must be solved over all facilities, instead of doing it for each plant separately, as has been usual so far. Then, this paper proposes a mixed-integer linear programming model for the multisite batching and scheduling problems, where different operational policies are considered for multiple batch plants. Through two examples, the impact of policies on the decision-making process is shown.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Growing Science
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
MULTISITE BATCH FACILITIES
dc.subject
BATCHING
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SCHEDULING
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OPERATIONAL POLICIES
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MILP MODEL
dc.subject.classification
Otras Ingenierías y Tecnologías
dc.subject.classification
Otras Ingenierías y Tecnologías
dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS
dc.title
Incorporating batching decisions and operational constraints into the scheduling problem of multisite manufacturing environments
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2022-03-08T21:57:35Z
dc.identifier.eissn
1923-2934
dc.journal.number
12
dc.journal.pagination
345-364
dc.journal.pais
Canadá
dc.description.fil
Fil: Ackermann, Sergio Alfredo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; Argentina
dc.description.fil
Fil: Fumero, Yanina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; Argentina
dc.description.fil
Fil: Montagna, Jorge Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; Argentina
dc.journal.title
International Journal of Industrial Engineering Computations
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.5267/j.ijiec.2021.1.002
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://growingscience.com/beta/ijiec/4777-incorporating-batching-decisions-and-operational-constraints-into-the-scheduling-problem-of-multisite-manufacturing-environments.html
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