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Uncertainty in maritime ship routing and scheduling: A Literature review

Jana Ksciuk, Stefan Kuhlemann, Kevin Tierney and Achim Koberstein

European Journal of Operational Research, 2023, vol. 308, issue 2, 499-524

Abstract: The area of maritime transportation optimization has recently begun to achieve increasing success at solving large scale models, and industry is steadily adopting operations research-based models and algorithms. However, the parameters of models in the maritime domain, like many others, are beset with uncertainty. The travel times of ships, the handling times at port, the amounts of demand available at ports, fuel prices and more are all unknown and highly variable inputs to optimization methods. Recently, the maritime literature has started to address sources of uncertainty to provide higher quality decision making. We review this nascent area of the literature and provide a unifying view of different types of uncertainty across the main areas of maritime transport and varying problem types.

Keywords: Stochastic programming; Literature review; Maritime optimization; Optimization under uncertainty (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:308:y:2023:i:2:p:499-524

DOI: 10.1016/j.ejor.2022.08.006

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European Journal of Operational Research is currently edited by Roman Slowinski, Jesus Artalejo, Jean-Charles. Billaut, Robert Dyson and Lorenzo Peccati

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