| Titre : | Operation planning of multiparcel tankers under fuel price uncertainty (2010) |
| Auteurs : | H. C. Oh, Auteur ; A. Karimi, Auteur |
| Type de document : | Article : texte imprimé |
| Dans : | Industrial & engineering chemistry research (Vol. 49 N° 13, Juillet 2010) |
| Article en page(s) : | pp. 6104–6114 |
| Note générale : | Industrial chemistry |
| Langues : | Anglais |
| Tags : | 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 |
