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A maritime container repositioning yield-based optimization model with uncertain upsurge demand

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  • Wong, Eugene Y.C.
  • Tai, Allen H.
  • Raman, Mardjuki

Abstract

The role of container repositioning has become more important under the severe cargo shipping environment, affected by world trade growth, trade imbalance, slow steaming strategy and high container manufacturing cost. Low cost, better routing, and supplying equipment to higher yield cargo become the top criteria. A yield-based container repositioning framework is developed, followed by a constrained linear programming optimizing the container repositioning from surplus to deficit locations. The model incorporated change of destinations of empty containers and adjustment factors handling upsurge demand. The model is applied to optimize daily container repositioning operations with a better route, costs and equipment supply.

Suggested Citation

  • Wong, Eugene Y.C. & Tai, Allen H. & Raman, Mardjuki, 2015. "A maritime container repositioning yield-based optimization model with uncertain upsurge demand," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 82(C), pages 147-161.
    • Handle: RePEc:eee:transe:v:82:y:2015:i:c:p:147-161
    DOI: 10.1016/j.tre.2015.07.007
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    3. 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).

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