A tri-level mixed-integer program for the optimal fortification of a rail intermodal terminal network

Hassan Sarhadi, David M. Tulett and Manish Verma

International Journal of Operational Research, 2022, vol. 43, issue 1/2, 65-95

Abstract: Rail-truck intermodal transportation plays an important role in moving freight in North America, and hence the availability and appropriate functionality of the associated infrastructure is crucial. To this end, one of the strategies to mitigate (minimise) the adverse impacts from (intentional/random) disruption prescribes fortifying a set of rail intermodal terminals so that continuity in its service is ensured. In this paper, we re-visit the tri-level model to protect a given number of rail intermodal terminals such that the effect of worst-case disruptions is minimised. We propose a tabu search metaheuristic to solve the outer level problem, and then combine it with a decomposition-based technique to solve the entire model. The proposed methodology is tested on the problem instances introduced in an earlier work, and to comment on the computational efficiency vis-à-vis the existing techniques in the literature.

Keywords: intermodal transportation; mixed-integer program; fortification; tabu-search metaheuristic; decomposition. (search for similar items in EconPapers)
Date: 2022
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