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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