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A hybrid algorithm for large-scale service network design considering a heterogeneous fleet

Author

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  • Wang, Zujian
  • Qi, Mingyao
  • Cheng, Chun
  • Zhang, Canrong

Abstract

Service network design addresses decisions related to transportation services operation and origin-to-destination commodity flow distribution. In this paper, we consider the usage of a heterogeneous fleet to provide services for a very large transportation network. Apart from decisions on transportation services and commodity flow, the problem also determines the number of vehicles of different types that facilitated on each service link, to better reflect real applications. We propose both arc-based and cycle-path models to formulate the problem. A hybrid algorithm is presented to solve large-scale instances. The method includes pricing and cutting techniques to achieve tight lower bounds, as well as a local search algorithm to obtain high-quality solutions. Computational study indicates the effectiveness and efficiency of the proposed algorithm when compared to the state-of-the-art solver CPLEX. The proposed methodology is applied to a real-world network, which shows the necessity of considering a heterogeneous fleet.

Suggested Citation

  • Wang, Zujian & Qi, Mingyao & Cheng, Chun & Zhang, Canrong, 2019. "A hybrid algorithm for large-scale service network design considering a heterogeneous fleet," European Journal of Operational Research, Elsevier, vol. 276(2), pages 483-494.
    • Handle: RePEc:eee:ejores:v:276:y:2019:i:2:p:483-494
    DOI: 10.1016/j.ejor.2019.01.022
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    References listed on IDEAS

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    Cited by:

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    3. Rajabighamchi, Farzaneh & van Hoesel, Stan & Defryn, Christof, 2023. "Bus service for cargo," Research Memorandum 005, Maastricht University, Graduate School of Business and Economics (GSBE).
    4. Xudong Diao & Ai Gao & Xin Jin & Hui Chen, 2022. "A Layer-Based Relaxation Approach for Service Network Design," Sustainability, MDPI, vol. 14(20), pages 1-13, October.
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    6. Zhang, X. & Liu, X., 2022. "A two-stage robust model for express service network design with surging demand," European Journal of Operational Research, Elsevier, vol. 299(1), pages 154-167.
    7. Liu, Chuanju & Zhang, Junlong & Lin, Shaochong & Shen, Zuo-Jun Max, 2023. "Service network design with consistent multiple trips," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 171(C).

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