Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.9/2496
Título: Scope for industrial applications of production scheduling models and solution methods
Autor: Harjunkoski, Iiro
Maravelias, Christos T.
Bongers, Peter
Castro, Pedro
Engell, Sebastian
Grossmann, Ignacio E.
Hooker, John
Mendez, Carlos A.
Sand, Guido
Wassick, John
Palavras-chave: Scheduling
Industrial applications
Best practices
Data: 2014
Editora: Elsevier
Citação: Harjunkoski, I.; Maravelias, C.T.; Bongers, P.; Castro, P.; Engell, S.; Grossmann, I.E.; Hooker, J.; Méndez, C.; Sand, G.; Wassick, J. Scope for industrial applications of production scheduling models and solution methods. In: Computers and Chemical Engineering, 2014, Vol. 62, p. 161-193
Resumo: 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.
URI: http://hdl.handle.net/10400.9/2496
ISSN: 0098-1354
Versão do Editor: http://dx.doi.org/10.1016/j.compchemeng.2013.12.001
Aparece nas colecções:UAER - Artigos em revistas internacionais

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