Computing Dynamic Routes in Maritime Logistic Networks
Jean-Yves Colin and
A chapter in Innovative Methods in Logistics and Supply Chain Management: Current Issues and Emerging Practices, 2014, pp 187-200 from Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management
In this paper, we study the problem of finding the path that maximizes the gain toward one of several destination ports subject to uncertain information on the expected gain in each port. Although the cost of a ship trip between two points is usually predictable, some events may happen, thus impacting the cost. The price of goods to be delivered may fluctuate during the trip (thus impacting the gain), or the price to pay at the destination point can be higher than expected (in case of a strike for example). All of this has important economical consequences for the ship-owner and for the port on a long-term basis. In this context, it is important for a ship-owner to be able to react quickly when a destination port is no longer available. When a port terminal is on strike for example, ships are rerouted to other ports to be loaded and unloaded. We propose in this paper a simple and yet efficient algorithm to re-compute the path of the ship, when she is on the way, based on the computation of the longest path in a weakly dynamic graph, in order to maximize the global gain of the trip.
Keywords: dynamic graph; longest path problem; maritime network; route planning; time and costs factors (search for similar items in EconPapers)
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed
Downloads: (external link)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:zbw:hiclch:209231
Access Statistics for this chapter
More chapters in Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL) from Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management
Bibliographic data for series maintained by ZBW - Leibniz Information Centre for Economics ().