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A logistics cost function with explicit transport costs

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  • Minken, Harald
  • Johansen, Bjørn Gjerde

Abstract

With a view to construct a new framework to assess the benefits of freight transport improvements, an Economic Order Quantity model with uncertain lead time demand is equipped with detailed transport costs. The problem is to minimise total logistics cost by choosing shipment size, vehicle size and reorder point subject to constraints on vehicle size and annual transport capacity. An analytical solution in all variables except the reorder point is derived, reducing the cost minimisation problem to a well-behaved problem in one dimension only.

Suggested Citation

  • Minken, Harald & Johansen, Bjørn Gjerde, 2019. "A logistics cost function with explicit transport costs," Economics of Transportation, Elsevier, vol. 19(C), pages 1-1.
    • Handle: RePEc:eee:ecotra:v:19:y:2019:i:c:6
    DOI: 10.1016/j.ecotra.2019.04.001
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    References listed on IDEAS

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    Cited by:

    1. Guo, Liquan & Jiang, Changmin & Hou, Weilu & Ng, Adolf K.Y. & Shi, Qin, 2024. "International multimodal transport connectivity assessment of multimodal transport from mainland China to Europe," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 186(C).
    2. Sugeng Santoso & R. Nurhidayat & Gustofan Mahmud & Abdul Mujib Arijuddin, 2021. "Measuring the Total Logistics Costs at the Macro Level: A Study of Indonesia," Logistics, MDPI, vol. 5(4), pages 1-19, October.
    3. Daisik Nam & Minyoung Park, 2020. "Improving the Operational Efficiency of Parcel Delivery Network with a Bi-Level Decision Making Model," Sustainability, MDPI, vol. 12(19), pages 1-19, September.
    4. Lijun Liu & Zhixin Long & Chuangchuang Kou & Haozeng Guo & Xinyu Li, 2023. "Evaluation of the Environmental Cost of Integrated Inbound Logistics: A Case Study of a Gigafactory of a Chinese Logistics Firm," Sustainability, MDPI, vol. 15(15), pages 1-20, July.

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    More about this item

    Keywords

    Logistics; Transport cost; Non-linear optimization; EOQ; Uncertain lead time demand;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • D61 - Microeconomics - - Welfare Economics - - - Allocative Efficiency; Cost-Benefit Analysis
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise

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