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Model and Algorithm for Container Allocation Problem with Random Freight Demands in Synchromodal Transportation

Author

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  • Yan Xu
  • Chengxuan Cao
  • Bin Jia
  • Guangzhi Zang

Abstract

This paper aims to investigate container allocation problem with random freight demands in synchromodal transportation network from container carriers’ perspective. Firstly, the problem is formulated as a stochastic integer programming model where the overall objective is to determine a container capacity allocation plan at operational level, so that the expected total transportation profit is maximized. Furthermore, by integrating simulated annealing with genetic algorithm, a problem-oriented hybrid algorithm with a novel gene encode method is designed to solve the optimization model. Some numerical experiments are carried out to demonstrate the effectiveness and efficiency of the proposed model and algorithm.

Suggested Citation

  • Yan Xu & Chengxuan Cao & Bin Jia & Guangzhi Zang, 2015. "Model and Algorithm for Container Allocation Problem with Random Freight Demands in Synchromodal Transportation," Mathematical Problems in Engineering, Hindawi, vol. 2015, pages 1-13, November.
    • Handle: RePEc:hin:jnlmpe:986152
    DOI: 10.1155/2015/986152
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    Cited by:

    1. Johannes Rentschler & Ralf Elbert & Felix Weber, 2022. "Promoting Sustainability through Synchromodal Transportation: A Systematic Literature Review and Future Fields of Research," Sustainability, MDPI, vol. 14(20), pages 1-22, October.
    2. Gumuskaya, Volkan & van Jaarsveld, Willem & Dijkman, Remco & Grefen, Paul & Veenstra, Albert, 2020. "Dynamic barge planning with stochastic container arrivals," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 144(C).
    3. Sakti, Sekar & Zhang, Lele & Thompson, Russell G., 2023. "Synchronization in synchromodality," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 179(C).
    4. Akyüz, M. Hakan & Dekker, Rommert & Sharif Azadeh, Shadi, 2023. "Partial and complete replanning of an intermodal logistic system under disruptions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 169(C).

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