[article]
Titre : |
Operation planning of multiparcel tankers under fuel price uncertainty |
Type de document : |
texte imprimé |
Auteurs : |
H. C. Oh, Auteur ; A. Karimi, Auteur |
Année de publication : |
2010 |
Article en page(s) : |
pp. 6104–6114 |
Note générale : |
Industrial chemistry |
Langues : |
Anglais (eng) |
Mots-clés : |
Maritime logistics multiparcel tanker mixed-integer linear programming model |
Résumé : |
Maritime logistics is the workhorse of the growing global chemical trade. Fuel expenses claim up to 90% of the daily operating cost of a multiparcel tanker, and a tanker’s fuel consumption varies with the cube of its speed. This combined with high fuel prices makes it crucial that the tanker owners manage tanker speed and fuel purchases in a prudent manner. The volatility in fuel prices and their significant variations across refueling ports make this a difficult task, and systematic optimization can aid the decision-making process. Surprisingly, no literature model addresses this issue for multiparcel tankers. We propose a novel mixed-integer linear programming model that optimizes the operation of a multiparcel tanker in the presence of uncertain fuel prices. Given the route and cargo details of a tanker, it determines the optimal voyage speeds and a refueling plan that minimizes the expected total operating cost. We use a case study derived from industrial data to illustrate the application of our new model. |
En ligne : |
http://pubs.acs.org/doi/abs/10.1021/ie901551j |
in Industrial & engineering chemistry research > Vol. 49 N° 13 (Juillet 2010) . - pp. 6104–6114
[article] Operation planning of multiparcel tankers under fuel price uncertainty [texte imprimé] / H. C. Oh, Auteur ; A. Karimi, Auteur . - 2010 . - pp. 6104–6114. Industrial chemistry Langues : Anglais ( eng) in Industrial & engineering chemistry research > Vol. 49 N° 13 (Juillet 2010) . - pp. 6104–6114
Mots-clés : |
Maritime logistics multiparcel tanker mixed-integer linear programming model |
Résumé : |
Maritime logistics is the workhorse of the growing global chemical trade. Fuel expenses claim up to 90% of the daily operating cost of a multiparcel tanker, and a tanker’s fuel consumption varies with the cube of its speed. This combined with high fuel prices makes it crucial that the tanker owners manage tanker speed and fuel purchases in a prudent manner. The volatility in fuel prices and their significant variations across refueling ports make this a difficult task, and systematic optimization can aid the decision-making process. Surprisingly, no literature model addresses this issue for multiparcel tankers. We propose a novel mixed-integer linear programming model that optimizes the operation of a multiparcel tanker in the presence of uncertain fuel prices. Given the route and cargo details of a tanker, it determines the optimal voyage speeds and a refueling plan that minimizes the expected total operating cost. We use a case study derived from industrial data to illustrate the application of our new model. |
En ligne : |
http://pubs.acs.org/doi/abs/10.1021/ie901551j |
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