Combining linear programming and automated planning to solve intermodal transportation problems

Javier García, José E. Florez, Álvaro Torralba, Daniel Borrajo, Carlos Linares López, Ángel García-Olaya and Juan Sáenz

European Journal of Operational Research, 2013, vol. 227, issue 1, 216-226

Abstract: When dealing with transportation problems Operational Research (OR), and related areas as Artificial Intelligence (AI), have focused mostly on uni-modal transport problems. Due to the current existence of bigger international logistics companies, transportation problems are becoming increasingly more complex. One of the complexities arises from the use of intermodal transportation. Intermodal transportation reflects the combination of at least two modes of transport in a single transport chain, without a change of container for the goods. In this paper, a new hybrid approach is described which addresses complex intermodal transport problems. It combines OR techniques with AI search methods in order to obtain good quality solutions, by exploiting the benefits of both kinds of techniques. The solution has been applied to a real world problem from one of the largest spanish companies using intermodal transportation, Acciona Transmediterránea Cargo.

Keywords: Logistics; Intermodal transport; Linear programming; Heuristic planning (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:227:y:2013:i:1:p:216-226

DOI: 10.1016/j.ejor.2012.12.018

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