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dc.contributor.author
Marchetti, Pablo Andres
dc.contributor.author
Mendez, Carlos Alberto
dc.contributor.author
Cerda, Jaime
dc.date.available
2017-01-06T13:53:57Z
dc.date.issued
2012-03
dc.identifier.citation
Marchetti, Pablo Andres; Mendez, Carlos Alberto; Cerda, Jaime; Simultaneous lot sizing and scheduling of multistage batch processes handling multiple orders per product; American Chemical Society; Industrial & Engineering Chemical Research; 51; 16; 3-2012; 5762-5780
dc.identifier.issn
0888-5885
dc.identifier.uri
http://hdl.handle.net/11336/10897
dc.description.abstract
A pair of precedence-based continuous-time formulations addressing the combined lot sizing and scheduling of order-driven multistage batch facilities is presented. The proposed mixed-integer linear programming (MILP) models can handle multiple orders per product with different delivery dates, variable processing times, and sequence-dependent changeovers. As each order may be filled by one or more batches, enough batches for each order ensuring optimality are initially defined. The two monolithic formulations are intended for sequential batch processes where batch integrity is preserved throughout the entire production system. However, lots of final products can be split to satisfy two or more orders. One of the approaches is based on a detailed MILP formulation allocating individual batches to units and ordering them in every unit. In contrast, the second methodology is specially designed for large scheduling problems. It first gathers batches for the same order into clusters, and then assigns clusters to units and sequences groups of batches in every unit. The larger the number of groups, the more rigorous is the cluster-based formulation. Alternative sequencing constraints based on reliable assumptions were also tested. Several examples involving up to 92 batches have been successfully solved using one or both formulations.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
American Chemical Society
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Batch Processes
dc.subject
Scheduling
dc.subject
Lot-Sizing
dc.subject
Optimization
dc.subject
Integer Programming
dc.subject.classification
Ingeniería de Procesos Químicos
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Ingeniería Química
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INGENIERÍAS Y TECNOLOGÍAS
dc.title
Simultaneous lot sizing and scheduling of multistage batch processes handling multiple orders per product
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2017-01-05T15:03:50Z
dc.journal.volume
51
dc.journal.number
16
dc.journal.pagination
5762-5780
dc.journal.pais
Estados Unidos
dc.journal.ciudad
Washington
dc.description.fil
Fil: Marchetti, Pablo Andres. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo Tecnológico Para la Industria Química (i); Argentina
dc.description.fil
Fil: Mendez, Carlos Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo Tecnológico Para la Industria Química (i); Argentina
dc.description.fil
Fil: Cerda, Jaime. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo Tecnológico Para la Industria Química (i); Argentina
dc.journal.title
Industrial & Engineering Chemical Research
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1021/ie202275y
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://pubs.acs.org/doi/abs/10.1021/ie202275y
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