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A supply-chain optimization model of the allocation of containerized imports from Asia to the United States

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  • Jula, Payman
  • Leachman, Robert C.

Abstract

This article proposes a mixed integer non-linear programming model for the optimizing supply chains of importers of waterborne containerized goods from Asia to the USA. This model determines the least-cost strategy for an importer, in terms of ports and landside transportation modes to be used, where costs considered include costs for transportation and handling, pipeline inventory, and safety-stock. We introduce a heuristic algorithm to quickly solve the mathematical model to near optimality. We assess the proposed heuristic compared to use of a commercial solver, and provide general recommendations for efficient supply-chain strategies as a function of the value of imported goods.

Suggested Citation

  • Jula, Payman & Leachman, Robert C., 2011. "A supply-chain optimization model of the allocation of containerized imports from Asia to the United States," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 47(5), pages 609-622, September.
    • Handle: RePEc:eee:transe:v:47:y:2011:i:5:p:609-622
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    Citations

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    Cited by:

    1. 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.
    2. Fedele Iannone, 2013. "Modelling the extended gateway concept in port hinterland container logistics," Chapters, in: Thomas Vanoutrive & Ann Verhetsel (ed.), Smart Transport Networks, chapter 8, pages 150-179, Edward Elgar Publishing.
    3. Fedele Iannone, 2011. "The extended gateway concept in port hinterland container logistics. A theoretical network programming formulation," Working Papers 11_16, SIET Società Italiana di Economia dei Trasporti e della Logistica, revised 2011.
    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. Iannone, Fedele, 2012. "The private and social cost efficiency of port hinterland container distribution through a regional logistics system," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(9), pages 1424-1448.
    7. Dai, Bo & Chen, Haoxun & Li, Yuan & Zhang, Yidong & Wang, Xiaoqing & Deng, Yuming, 2023. "An alternating direction method of multipliers for optimizing (s, S) policies in a distribution system with joint replenishment volume constraints," Omega, Elsevier, vol. 116(C).
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. Safaei, Mehdi, 2014. "An integrated multi-objective model for allocating the limited sources in a multiple multi-stage lean supply chain," Economic Modelling, Elsevier, vol. 37(C), pages 224-237.

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