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Dynamic planning for urban drayage operations

Author

Listed:
  • Zhang, Guangming
  • Smilowitz, Karen
  • Erera, Alan

Abstract

This paper develops approaches for incorporating informational and operational dynamics within models for intermodal drayage operations with flexible tasks. Tasks with flexible origins or destinations create an important complexity. We develop models to minimize the cost of drayage moves when flexibility exists. The solution approach generates plans at several decision epochs during the day. The optimization problem at each epoch is a complex multistage stochastic optimization problem; we find good solutions using a two-stage approximation. We show that with such a model, a drayage firm can find high-quality plans even when many tasks are not known initially.

Suggested Citation

  • Zhang, Guangming & Smilowitz, Karen & Erera, Alan, 2011. "Dynamic planning for urban drayage operations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 47(5), pages 764-777, September.
    • Handle: RePEc:eee:transe:v:47:y:2011:i:5:p:764-777
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    Citations

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    Cited by:

    1. Wenqing He & Zhihong Jin & Ying Huang & Shida Xu, 2021. "The Inland Container Transportation Problem with Separation Mode Considering Carbon Dioxide Emissions," Sustainability, MDPI, vol. 13(3), pages 1-16, February.
    2. Zhang, Jian & Woensel, Tom Van, 2023. "Dynamic vehicle routing with random requests: A literature review," International Journal of Production Economics, Elsevier, vol. 256(C).
    3. Samaneh Shiri & Nathan Huynh & Daniel Smith & Frank Harder, 2022. "Impact of Second-Tier Container Port Facilities on Drayage Operation," Logistics, MDPI, vol. 6(4), pages 1-21, September.
    4. Chen, Rui & Jia, Shuai & Meng, Qiang, 2023. "Dynamic container drayage booking and routing decision support approach for E-commerce platforms," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 177(C).
    5. Escudero-Santana, Alejandro & Muñuzuri, Jesús & Cortés, Pablo & Onieva, Luis, 2021. "The one container drayage problem with soft time windows," Research in Transportation Economics, Elsevier, vol. 90(C).
    6. Zhang, Ruiyou & Lu, Jye-Chyi & Wang, Dingwei, 2014. "Container drayage problem with flexible orders and its near real-time solution strategies," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 61(C), pages 235-251.
    7. Li, Yifu & Zhou, Chenhao & Yuan, Peixue & Ngo, Thi Tu Anh, 2023. "Experience-based territory planning and driver assignment with predicted demand and driver present condition," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 171(C).
    8. Jia, Shuai & Cui, Haipeng & Chen, Rui & Meng, Qiang, 2022. "Dynamic container drayage with uncertain request arrival times and service time windows," Transportation Research Part B: Methodological, Elsevier, vol. 166(C), pages 237-258.
    9. Marković, Nikola & Drobnjak, Željko & Schonfeld, Paul, 2014. "Dispatching trucks for drayage operations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 70(C), pages 99-111.
    10. Lin Wang & Zhiqiang Lu & Yifei Ren, 2019. "A rolling horizon approach for production planning and condition-based maintenance under uncertain demand," Journal of Risk and Reliability, , vol. 233(6), pages 1014-1028, December.
    11. Chen, Rui & Meng, Qiang & Jia, Peng, 2022. "Container port drayage operations and management: Past and future," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 159(C).
    12. Fan, Tijun & Pan, Qianlan & Pan, Fei & Zhou, Wei & Chen, Jingyi, 2020. "Intelligent logistics integration of internal and external transportation with separation mode," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 133(C).
    13. Shiri, Samaneh & Huynh, Nathan, 2016. "Optimization of drayage operations with time-window constraints," International Journal of Production Economics, Elsevier, vol. 176(C), pages 7-20.

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