Abstract
Containership speed optimization is important for liner shipping companies because bunker cost constitutes a large proportional of their total operating cost and bunker consumption is sensitive to the ship sailing speed. Speed optimization problems can be formulated as mixed-integer nonlinear programming (MINLP) models. However, the MINLP models developed for the large-scale problems are not solvable by using existing optimization solvers. This paper first analyzes the exiting solution algorithms for solving the MINLP model and then proposes a few novel algorithms which are capable of solving large-scale problems.
| Original language | English |
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| Title of host publication | Proceedings of the 17th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2012: Transportation and Logistics Management |
| Subtitle of host publication | Kowloon, Hong Kong; 15-17 December 2012 |
| Editors | Ho-Yin Mak, Hong K. Lo |
| Place of Publication | Hong Kong |
| Publisher | Hong Kong Society for Transportation Studies Limited |
| Pages | 49-55 |
| Number of pages | 7 |
| ISBN (Print) | 9789881581419 |
| Publication status | Published - 2012 |
| Event | International Conference of Hong Kong Society for Transportation Studies (HKSTS) 2012 - Kowloon, Hong Kong Duration: 15 Dec 2012 → 17 Dec 2012 Conference number: 17th |
Conference
| Conference | International Conference of Hong Kong Society for Transportation Studies (HKSTS) 2012 |
|---|---|
| Abbreviated title | HKSTS 2012 |
| Country/Territory | Hong Kong |
| City | Kowloon |
| Period | 15/12/12 → 17/12/12 |
Keywords
- Containership
- Fuel
- Linearization
- Sailing speed