Artículo
Scope for industrial applications of production scheduling and solution methods
Harjunkoski, Iiro; Maravelias, Christos; Bongersc, Peter; Castro, Pedro; Engell, Sebastian; Grossmann, Ignacio; Hooker, John; Mendez, Carlos Alberto
; Sand, Guido; Wassick, John
Fecha de publicación:
10/2014
Editorial:
Elsevier
Revista:
Computers And Chemical Engineering
ISSN:
0098-1354
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
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.
Palabras clave:
Scheduling
,
Optimization
,
Modeling
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Identificadores
Colecciones
Articulos(INTEC)
Articulos de INST.DE DES.TECNOL.PARA LA IND.QUIMICA (I)
Articulos de INST.DE DES.TECNOL.PARA LA IND.QUIMICA (I)
Citación
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
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