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Models and Algorithms for Intermodal Transportation and Equipment Selection

Abstract : We study a cement transportation problem with asset-management (equipment selection) for strategic planning scenarios involving multiple forms of transportation and network expansion. A deterministic mixed integer programming approach is difficult due to the underlying capacitated multi-commodity network flow model and the need to consider a time-space network to ensure operational feasibility. Considering uncertain aspects is also difficult but important. In this paper we propose three approaches: solve a deterministic mixed integer program optimally; solve stochastic programs to obtain robust bounds on the solution; and, study alternative solutions to obtain their optimal cost vectors using inverse programming.
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Christina Burt, Jakob Puchinger. Models and Algorithms for Intermodal Transportation and Equipment Selection. International Conference on Operations Research (OR 2011), Aug 2011, Zurich, Switzerland. ⟨10.1007/978-3-642-29210-1_49⟩. ⟨hal-01307975⟩



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