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An intermodal multicommodity routing problem with scheduled services

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  • Burak Ayar

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  • Hande Yaman

    ()

Abstract

We study a multicommodity routing problem faced by an intermodal service operator that uses ground and maritime transportation. Given a planning horizon, a set of commodities to be picked up at their release times and to be delivered not later than their duedates, the problem is to decide on routes for these commodities using trucks and scheduled and capacitated maritime services at minimum cost of transportation and stocking at the seaports. Two mixed integer programming formulations and valid inequalities are proposed for this problem. The results of a computational study to evaluate the strength of the linear programming relaxations and the solution times are reported. Copyright Springer Science+Business Media, LLC 2012

Suggested Citation

  • Burak Ayar & Hande Yaman, 2012. "An intermodal multicommodity routing problem with scheduled services," Computational Optimization and Applications, Springer, vol. 53(1), pages 131-153, September.
  • Handle: RePEc:spr:coopap:v:53:y:2012:i:1:p:131-153 DOI: 10.1007/s10589-011-9409-z
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    References listed on IDEAS

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    1. Ziliaskopoulos, Athanasios & Wardell, Whitney, 2000. "An intermodal optimum path algorithm for multimodal networks with dynamic arc travel times and switching delays," European Journal of Operational Research, Elsevier, vol. 125(3), pages 486-502, September.
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    Cited by:

    1. Meng, Qiang & Hei, Xiuling & Wang, Shuaian & Mao, Haijun, 2015. "Carrying capacity procurement of rail and shipping services for automobile delivery with uncertain demand," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 82(C), pages 38-54.
    2. SteadieSeifi, M. & Dellaert, N.P. & Nuijten, W. & Van Woensel, T. & Raoufi, R., 2014. "Multimodal freight transportation planning: A literature review," European Journal of Operational Research, Elsevier, vol. 233(1), pages 1-15.

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