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Speed optimization and bunkering in liner shipping in the presence of uncertain service times and time windows at ports
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Aydin, Nursen, Habin, Lee and Mansouri, Afshin (2017) Speed optimization and bunkering in liner shipping in the presence of uncertain service times and time windows at ports. European Journal of Operational Research, 259 (1). pp. 143-154. doi:10.1016/j.ejor.2016.10.002 ISSN 1872-6860.
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Official URL: https://doi.org/10.1016/j.ejor.2016.10.002
Abstract
Recent studies in maritime shipping have concentrated on environmental and economic impacts of ships. In this regard, fuel is considered as one of the important factors for such impacts. In particular, the sailing speed of the vessels affects the fuel consumption directly. In this study, we consider a speed optimization problem in liner shipping, which is characterized by stochastic port times and time windows. The objective is to minimize the total fuel consumption while maintaining the schedule reliability. We develop a dynamic programing model by discretizing the port arrival times to provide approximate solutions. A deterministic model is presented to provide a lower bound on the optimal expected cost of the dynamic model. We also work on the effect of bunker prices on the liner service schedule. We propose a dynamic programing model for bunkering problem. Our numerical study using real data from a European liner shipping company indicates that the speed policy obtained by proposed dynamic model performs significantly better than the ones obtained by benchmark methods. Moreover, our results show that making speed decisions considering the uncertainty of port times will noticeably decrease fuel consumption cost.
| Item Type: | Journal Article | ||||||||
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| Subjects: | H Social Sciences > HE Transportation and Communications V Naval Science > VM Naval architecture. Shipbuilding. Marine engineering |
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| Divisions: | Faculty of Social Sciences > Warwick Business School | ||||||||
| Library of Congress Subject Headings (LCSH): | Ships -- Fuel -- Mathematical models , Stochastic processes, Shipping , Freight and freightage | ||||||||
| Journal or Publication Title: | European Journal of Operational Research | ||||||||
| Publisher: | Elsevier Science BV | ||||||||
| ISSN: | 1872-6860 | ||||||||
| Official Date: | 16 May 2017 | ||||||||
| Dates: |
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| Volume: | 259 | ||||||||
| Number: | 1 | ||||||||
| Number of Pages: | 30 | ||||||||
| Page Range: | pp. 143-154 | ||||||||
| DOI: | 10.1016/j.ejor.2016.10.002 | ||||||||
| Status: | Peer Reviewed | ||||||||
| Publication Status: | Published | ||||||||
| Access rights to Published version: | Open Access (Creative Commons) | ||||||||
| Date of first compliant deposit: | 7 October 2016 | ||||||||
| Date of first compliant Open Access: | 9 May 2017 | ||||||||
| RIOXX Funder/Project Grant: |
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