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Analytical models of rail transportation service in the grain supply chain: Deconstructing the operational and economic advantages of shuttle train service

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  • Hyland, Michael F.
  • Mahmassani, Hani S.
  • Bou Mjahed, Lama

Abstract

This paper introduces conceptual and mathematical models of the domestic grain supply chain incorporating trucking, elevator storage, and rail transportation. We compare conventional rail service supported by country elevators with shuttle service supported by terminal elevators across three critical transportation service dimensions: travel time, cost, and capacity. Even after taking into account trucking and elevator storage, the time and cost model results indicate that shuttle service transports grain faster and reduces logistical supply chain costs, respectively, relative to conventional service. The rail capacity model results demonstrate that shifting grain from conventional to shuttle service significantly increases rail capacity.

Suggested Citation

  • Hyland, Michael F. & Mahmassani, Hani S. & Bou Mjahed, Lama, 2016. "Analytical models of rail transportation service in the grain supply chain: Deconstructing the operational and economic advantages of shuttle train service," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 93(C), pages 294-315.
    • Handle: RePEc:eee:transe:v:93:y:2016:i:c:p:294-315
    DOI: 10.1016/j.tre.2016.06.008
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    Cited by:

    1. Mogale, D.G. & Kumar, Mukesh & Kumar, Sri Krishna & Tiwari, Manoj Kumar, 2018. "Grain silo location-allocation problem with dwell time for optimization of food grain supply chain network," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 111(C), pages 40-69.
    2. Juan Jos¨¦ Uchuya Lop¨¦z & Raad Yahya Qassim, 2017. "An Optimal Redesign Approach for Optimal Global Supply Chain Redesign: Brazilian Soybean Grain Study," Business and Management Horizons, Macrothink Institute, vol. 5(2), pages 84-111, December.
    3. Li, Deqiang & Zhao, Laijun & Wang, Chenchen & Sun, Wenjun & Xue, Jian, 2018. "Selection of China’s imported grain distribution centers in the context of the Belt and Road initiative," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 120(C), pages 16-34.
    4. Maiyar, Lohithaksha M. & Thakkar, Jitesh J., 2019. "Modelling and analysis of intermodal food grain transportation under hub disruption towards sustainability," International Journal of Production Economics, Elsevier, vol. 217(C), pages 281-297.
    5. Ndembe, Elvis & Bitzan, John D., 2022. "A shadow price approach examining service quality in a heavily captive U.S. freight transportation market: The case of grain transport," Transport Policy, Elsevier, vol. 116(C), pages 1-10.
    6. Ndembe, Elvis & Bitzan, John, 2018. "Grain freight elevator consolidation, transportation demand, and the growth of shuttle facilities," Research in Transportation Economics, Elsevier, vol. 71(C), pages 54-60.
    7. Tapia, Rodrigo Javier & dos Santos Senna, Luiz Afonso & Larranaga, Ana Margarita & Cybis, Helena Beatriz Bettella, 2019. "Joint mode and port choice for soy production in Buenos Aires province, Argentina," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 121(C), pages 100-118.

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