Determining departure times in dynamic and stochastic maritime routing and scheduling problems

Gregorio Tirado () and Lars Magnus Hvattum ()
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Gregorio Tirado: Universidad Complutense de Madrid
Lars Magnus Hvattum: Molde University College

Flexible Services and Manufacturing Journal, 2017, vol. 29, issue 3, No 9, 553-571

Abstract: Abstract In maritime transportation, decisions are made in a dynamic setting where many aspects of the future are uncertain. However, most academic literature on maritime transportation considers static and deterministic routing and scheduling problems. This work addresses a gap in the literature on dynamic and stochastic maritime routing and scheduling problems, by focusing on the scheduling of departure times. Five simple strategies for setting departure times are considered, as well as a more advanced strategy which involves solving a mixed integer mathematical programming problem. The latter strategy is significantly better than the other methods, while adding only a small computational effort.

Keywords: Tabu search; Uncertainty; Scenario; Maritime transportation (search for similar items in EconPapers)
Date: 2017
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DOI: 10.1007/s10696-016-9242-x

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