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An inventory control model for modal split transport: A tailored base-surge approach

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  • Dong, Chuanwen
  • Transchel, Sandra
  • Hoberg, Kai

Abstract

Firms are increasingly interested in transport policies that enable a shift in cargo volumes from road (truck) transport to less expensive, more sustainable, but slower and less flexible transport modes like railway or inland waterway transport. The lack of flexibility in terms of shipment quantity and delivery frequency may cause unnecessary inventories and lost sales, which may outweigh the savings in transportation costs. To guide the strategic volume allocation, we examine a modal split transport (MST) policy of two modes that integrates inventory controls.We develop a single-product–single-corridor stochastic MST model with two transport modes considering a hybrid push–pull inventory control policy. The objective is to minimize the long-run expected total costs of transport, inventory holding, and backlogging. The MST model is a generalization of the classical tailored base-surge (TBS) policy known from the dual sourcing literature with non-identical delivery frequencies of the two transport modes. We analytically solve approximate problems and provide closed-form solutions of the modal split. The solution provides an easy-to-implement solution tool for practitioners. The results provide structural insights regarding the tradeoff between transport cost savings and holding cost spending and reveal a high utilization of the slow mode. A numerical performance study shows that our approximation is reasonably accurate, with an error of less than 3% compared to the optimal results. The results also indicate that as much as 85% of the expected volume should be split into the slow mode.

Suggested Citation

  • Dong, Chuanwen & Transchel, Sandra & Hoberg, Kai, 2018. "An inventory control model for modal split transport: A tailored base-surge approach," European Journal of Operational Research, Elsevier, vol. 264(1), pages 89-105.
  • Handle: RePEc:eee:ejores:v:264:y:2018:i:1:p:89-105
    DOI: 10.1016/j.ejor.2017.05.010
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    Cited by:

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    3. De Moor, Bram J. & Creemers, Stefan & Boute, Robert N., 2023. "Breaking truck dominance in supply chains: Proactive freight consolidation and modal split transport," International Journal of Production Economics, Elsevier, vol. 257(C).
    4. Drent, Melvin & Moradi, Poulad & Arts, Joachim, 2023. "Efficient emission reduction through dynamic supply mode selection," European Journal of Operational Research, Elsevier, vol. 311(3), pages 925-941.
    5. Tianwen Song & Qiang Zhang & Junmu Ran & Wenxue Ran, 2021. "Research on Supplier Collaboration of Daily Consumer Goods under Uncertainty of Supply and Demand," Sustainability, MDPI, vol. 13(10), pages 1-15, May.

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