Skip to Main content Skip to Navigation
Conference papers

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.
Document type :
Conference papers
Complete list of metadatas

Cited literature [11 references]  Display  Hide  Download

https://hal.inria.fr/hal-01307975
Contributor : Jakob Puchinger <>
Submitted on : Wednesday, April 27, 2016 - 9:29:15 AM
Last modification on : Wednesday, April 8, 2020 - 4:11:06 PM
Long-term archiving on: : Thursday, July 28, 2016 - 10:55:19 AM

File

OR2011.pdf
Files produced by the author(s)

Identifiers

Collections

Citation

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⟩

Share

Metrics

Record views

143

Files downloads

372