Please use this identifier to cite or link to this item: https://doi.org/10.1177/1475090212460626
Title: Optimizing maritime travel time reliability
Authors: Prabhu Gaonkar, R.S.
Xie, M. 
Huang, H.-Z.
Keywords: Maritime transportation system
Possibilistic programming
Possibility measures
Travel time reliability
Issue Date: May-2013
Citation: Prabhu Gaonkar, R.S., Xie, M., Huang, H.-Z. (2013-05). Optimizing maritime travel time reliability. Proceedings of the Institution of Mechanical Engineers Part M: Journal of Engineering for the Maritime Environment 227 (2) : 167-176. ScholarBank@NUS Repository. https://doi.org/10.1177/1475090212460626
Abstract: Travel time reliability optimization problems generally cannot be formulated in direct mathematical form due to complexity of precise information. Classically, qualitative form of objective function and/or constraints does not allow the decision maker to represent it in a typical form of standard optimization model. This article attempts to resolve travel time reliability optimization problem of maritime transportation. The marine vessel's travel time consists of seven time components. The travel time reliability is considered in a possibilistic manner, and then the reliability optimization problem with budgetary constraints and stage-time limitations is formulated. Next, algorithmic framework for solution of the possibilistic programming has been proposed, followed by a suitable illustration. Finally, this article investigates the parameter sensitivity that has consequences in the marine vessel's transportation decision making. The proposed programming model is useful in the decision support system with regard to decision about the individual marine vessel's stage durations and their scheduling, as well as the optimal arrival time of the vessel at the destination harbor. © IMechE 2013.
Source Title: Proceedings of the Institution of Mechanical Engineers Part M: Journal of Engineering for the Maritime Environment
URI: http://scholarbank.nus.edu.sg/handle/10635/87150
ISSN: 14750902
DOI: 10.1177/1475090212460626
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