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Models and Algorithms for Intermodal Transportation and Equipment Selection

In: Operations Research Proceedings 2011

Author

Listed:
  • Christina Burt

    (AIT Austrian Institute of Technology)

  • Jakob Puchinger

    (AIT Austrian Institute of Technology)

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.

Suggested Citation

  • Christina Burt & Jakob Puchinger, 2012. "Models and Algorithms for Intermodal Transportation and Equipment Selection," Operations Research Proceedings, in: Diethard Klatte & Hans-Jakob Lüthi & Karl Schmedders (ed.), Operations Research Proceedings 2011, edition 127, pages 305-310, Springer.
    • Handle: RePEc:spr:oprchp:978-3-642-29210-1_49
    DOI: 10.1007/978-3-642-29210-1_49
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    Cited by:

    1. Hazrathosseini, Arman & Moradi Afrapoli, Ali, 2023. "The advent of digital twins in surface mining: Its time has finally arrived," Resources Policy, Elsevier, vol. 80(C).

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