2012 | OriginalPaper | Buchkapitel
Models and Algorithms for Intermodal Transportation and Equipment Selection
verfasst von : Christina Burt, Jakob Puchinger
Erschienen in: Operations Research Proceedings 2011
Verlag: Springer Berlin Heidelberg
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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.