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dc.contributor.author
Harjunkoski, Iiro
dc.contributor.author
Maravelias, Christos
dc.contributor.author
Bongersc, Peter
dc.contributor.author
Castro, Pedro
dc.contributor.author
Engell, Sebastian
dc.contributor.author
Grossmann, Ignacio
dc.contributor.author
Hooker, John
dc.contributor.author
Mendez, Carlos Alberto
dc.contributor.author
Sand, Guido
dc.contributor.author
Wassick, John
dc.date.available
2016-12-14T14:30:16Z
dc.date.issued
2014-10
dc.identifier.citation
Harjunkoski, Iiro; Maravelias, Christos; Bongersc, Peter; Castro, Pedro; Engell, Sebastian; et al.; Scope for industrial applications of production scheduling and solution methods; Elsevier; Computers And Chemical Engineering; 62; 10-2014; 161-193
dc.identifier.issn
0098-1354
dc.identifier.uri
http://hdl.handle.net/11336/9327
dc.description.abstract
This paper gives a review on existing scheduling methodologies developed for process industries. Above all, the aim of the paper is to focus on the industrial aspects of scheduling and discuss the main characteristics, including strengths and weaknesses of the presented approaches. It is claimed that optimization tools of today can effectively support the plant level production. However there is still clear potential for improvements, especially in transferring academic results into industry. For instance, usability, interfacing and integration are some aspects discussed in the paper. After the introduction and problem classification, the paper discusses some lessons learned from industry, provides an overview of models and methods and concludes with general guidelines and examples on the modeling and solution of industrial problems.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Elsevier
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.subject
Scheduling
dc.subject
Optimization
dc.subject
Modeling
dc.subject.classification
Ingeniería de Procesos Químicos
dc.subject.classification
Ingeniería Química
dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS
dc.title
Scope for industrial applications of production scheduling and solution methods
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2016-12-12T13:43:58Z
dc.journal.volume
62
dc.journal.pagination
161-193
dc.journal.pais
Países Bajos
dc.journal.ciudad
Amsterdam
dc.description.fil
Fil: Harjunkoski, Iiro. ABB Corporate Research; Alemania
dc.description.fil
Fil: Maravelias, Christos. University Of Wisconsin; Estados Unidos
dc.description.fil
Fil: Bongersc, Peter. Eindhoven University of Technology; Países Bajos
dc.description.fil
Fil: Castro, Pedro. Laboratório Nacional de Energia e Geologia; Portugal
dc.description.fil
Fil: Engell, Sebastian. Universitat Dortmund; Alemania
dc.description.fil
Fil: Grossmann, Ignacio. University Of Carnegie Mellon; Estados Unidos
dc.description.fil
Fil: Hooker, John. University Of Carnegie Mellon; Estados Unidos
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: Sand, Guido. ABB Corporate Research; Alemania
dc.description.fil
Fil: Wassick, John. The Dow Chemical Company; Estados Unidos
dc.journal.title
Computers And Chemical Engineering
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.compchemeng.2013.12.001
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0098135413003682
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