[article]
Titre : |
A Modeling framework for railcar fleet sizing in the chemical industry |
Type de document : |
texte imprimé |
Auteurs : |
Myun-Seok Cheon, Auteur ; Kevin C. Furman, Auteur ; Timothy, D. Shaffer, Auteur |
Année de publication : |
2012 |
Article en page(s) : |
pp. 9825-9834 |
Note générale : |
Industrial chemistry |
Langues : |
Anglais (eng) |
Mots-clés : |
Chemical industry Modeling |
Résumé : |
This paper tackles a railcar fleet sizing optimization problem in the chemical industry. In some sectors of the chemical industry, railcars are used not only as a means of transportation but also as storage space; thus, it is necessary to consider inventory in the determination of the optimal fleet size. Because of the long lifespans of railcars, this problem is formulated as a long-term capacity expansion problem considering various economic factors. A mixed-integer programming approach to modeling and solving this problem is proposed and a substantial improvement is demonstrated, compared to existing rule-based methods. |
ISSN : |
0888-5885 |
En ligne : |
http://cat.inist.fr/?aModele=afficheN&cpsidt=26184961 |
in Industrial & engineering chemistry research > Vol. 51 N° 29 (Juillet 2012) . - pp. 9825-9834
[article] A Modeling framework for railcar fleet sizing in the chemical industry [texte imprimé] / Myun-Seok Cheon, Auteur ; Kevin C. Furman, Auteur ; Timothy, D. Shaffer, Auteur . - 2012 . - pp. 9825-9834. Industrial chemistry Langues : Anglais ( eng) in Industrial & engineering chemistry research > Vol. 51 N° 29 (Juillet 2012) . - pp. 9825-9834
Mots-clés : |
Chemical industry Modeling |
Résumé : |
This paper tackles a railcar fleet sizing optimization problem in the chemical industry. In some sectors of the chemical industry, railcars are used not only as a means of transportation but also as storage space; thus, it is necessary to consider inventory in the determination of the optimal fleet size. Because of the long lifespans of railcars, this problem is formulated as a long-term capacity expansion problem considering various economic factors. A mixed-integer programming approach to modeling and solving this problem is proposed and a substantial improvement is demonstrated, compared to existing rule-based methods. |
ISSN : |
0888-5885 |
En ligne : |
http://cat.inist.fr/?aModele=afficheN&cpsidt=26184961 |
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