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Parallel machine scheduling with job synchronization to enable efficient material flows in hub terminals

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  • Guo, Peng
  • Weidinger, Felix
  • Boysen, Nils

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Suggested Citation

  • Guo, Peng & Weidinger, Felix & Boysen, Nils, 2019. "Parallel machine scheduling with job synchronization to enable efficient material flows in hub terminals," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 126184, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    • Handle: RePEc:dar:wpaper:126184
    DOI: 10.1016/j.omega.2018.10.003
    Note: for complete metadata visit http://tubiblio.ulb.tu-darmstadt.de/126184/
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    File URL: https://doi.org/10.1016/j.omega.2018.10.003
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    File URL: https://libkey.io/10.1016/j.omega.2018.10.003?utm_source=ideas
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    Cited by:

    1. Zhu, Jianxin & Zhang, Weidan & Yu, Lean & Guo, Xinghai, 2024. "A novel multi-attention reinforcement learning for the scheduling of unmanned shipment vessels (USV) in automated container terminals," Omega, Elsevier, vol. 129(C).
    2. Schwerdfeger, Stefan & Boysen, Nils & Briskorn, Dirk & Stephan, Konrad, 2024. "Keep on moving: Optimized placement of moving walkways in airport terminals," Transportation Research Part B: Methodological, Elsevier, vol. 183(C).
    3. Rupp, Johannes & Boysen, Nils & Briskorn, Dirk, 2022. "Optimizing consolidation processes in hubs: The hub-arrival-departure problem," European Journal of Operational Research, Elsevier, vol. 298(3), pages 1051-1066.

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