[article] inIndustrial & engineering chemistry research > Vol. 48 N° 8 (Avril 2009) . - pp. 3898–3908
| Titre : |
Rolling operation algorithm for solving complex scheduling problems |
| Type de document : |
texte imprimé |
| Auteurs : |
Barbara Czuczai, Auteur ; Tivadar Farkas, Auteur ; Endre Rev, Auteur |
| Année de publication : |
2009 |
| Article en page(s) : |
pp. 3898–3908 |
| Note générale : |
Chemical engineering |
| Langues : |
Anglais (eng) |
| Mots-clés : |
Large-scale problems Rolling operation” algorithm |
| Résumé : |
Large-scale scheduling problems have remained difficult to solve despite the intense research in the area and many successful algorithms. In this paper, a new decomposition algorithm is presented which finds a good feasible solution even for large-scale problems in a reasonable time. In each iteration, a maximum allowed number of operations is first assigned to available units, then the algorithm alternates between a production quantity maximization step and a production time minimization step in each iteration. The performance of the “rolling operation” algorithm is illustrated using an industrial example. |
| En ligne : |
http://pubs.acs.org/doi/abs/10.1021/ie801037k |
[article] Rolling operation algorithm for solving complex scheduling problems [texte imprimé] / Barbara Czuczai, Auteur ; Tivadar Farkas, Auteur ; Endre Rev, Auteur . - 2009 . - pp. 3898–3908. Chemical engineering Langues : Anglais ( eng) in Industrial & engineering chemistry research > Vol. 48 N° 8 (Avril 2009) . - pp. 3898–3908
| Mots-clés : |
Large-scale problems Rolling operation” algorithm |
| Résumé : |
Large-scale scheduling problems have remained difficult to solve despite the intense research in the area and many successful algorithms. In this paper, a new decomposition algorithm is presented which finds a good feasible solution even for large-scale problems in a reasonable time. In each iteration, a maximum allowed number of operations is first assigned to available units, then the algorithm alternates between a production quantity maximization step and a production time minimization step in each iteration. The performance of the “rolling operation” algorithm is illustrated using an industrial example. |
| En ligne : |
http://pubs.acs.org/doi/abs/10.1021/ie801037k |
|
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