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Long- and Short-Run supply-chain optimization models for the allocation and congestion management of containerized imports from Asia to the United States

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  • Jula, Payman
  • Leachman, Robert C.

Abstract

Analytical models are introduced for predicting the allocation to ports and transportation channels of containerized goods imported from Asia to the USA. Assuming fixed distributions for container flow-times, the Long-Run Model heuristically solves a mixed integer non-linear program to determine the least-cost supply-chain strategies for importers. The Short-Run Model uses estimates of the flow times as a function of traffic volumes on fixed infrastructure to iteratively develop the best near-term strategies. Minimum volume requirements and capacities for ports and landside channels are considered. The models are applied to predict the effects of container fees at the San Pedro Bay ports.

Suggested Citation

  • Jula, Payman & Leachman, Robert C., 2011. "Long- and Short-Run supply-chain optimization models for the allocation and congestion management of containerized imports from Asia to the United States," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 47(5), pages 593-608, September.
    • Handle: RePEc:eee:transe:v:47:y:2011:i:5:p:593-608
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    Citations

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    Cited by:

    1. Fan, Lei & Wilson, William W. & Dahl, Bruce, 2012. "Congestion, port expansion and spatial competition for US container imports," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(6), pages 1121-1136.
    2. Fan, Lei & Wilson, William W. & Dahl, Bruce, 2015. "Risk analysis in port competition for containerized imports," European Journal of Operational Research, Elsevier, vol. 245(3), pages 743-753.
    3. Ben-Ammar, Oussama & Bettayeb, Belgacem & Dolgui, Alexandre, 2019. "Optimization of multi-period supply planning under stochastic lead times and a dynamic demand," International Journal of Production Economics, Elsevier, vol. 218(C), pages 106-117.
    4. Disney, Stephen M. & Maltz, Arnold & Wang, Xun & Warburton, Roger D.H., 2016. "Inventory management for stochastic lead times with order crossovers," European Journal of Operational Research, Elsevier, vol. 248(2), pages 473-486.
    5. Tadesse Kenea Amentae & Girma Gebresenbet, 2021. "Digitalization and Future Agro-Food Supply Chain Management: A Literature-Based Implications," Sustainability, MDPI, vol. 13(21), pages 1-24, November.
    6. Leachman, Robert C. & Jula, Payman, 2011. "Congestion analysis of waterborne, containerized imports from Asia to the United States," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 47(6), pages 992-1004.
    7. Talley, Wayne K. & Ng, ManWo, 2016. "Port multi-service congestion," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 94(C), pages 66-70.
    8. Leachman, Robert C. & Jula, Payman, 2012. "Estimating flow times for containerized imports from Asia to the United States through the Western rail network," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(1), pages 296-309.
    9. Amir Gharehgozli & Nima Zaerpour & Rene Koster, 2020. "Container terminal layout design: transition and future," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 22(4), pages 610-639, December.

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