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Estimating the effects of carrier transit-time performance on logistics cost and service

  • Tyworth, John E.
  • Zeng, Amy Zhaohui
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    Joint determination of an appropriate transportation mode and an optimal inventory control policy is important in supply chain management. We present a method of estimating the effects of carrier transit-time performance on logistics cost and service. Unlike current approaches, this method enables users to develop accurate estimates when non-normal shapes characterize the probability distributions of both demand and lead time. Additionally, the methodology includes two important refinements to the standard transportation-inventory model. First, we relaxed the assumption that the shipping cost is a linear function of the order quantity. Second, we treated transit time as a segment of lead time. We used the gamma distribution to illustrate the flexibility of the method and developed an enhanced sensitivity-analysis tool for examining the effects of carrier transit time on both cost and service. The methodology is appropriate for the transportation of service-sensitive, independent-demand inventory items controlled by a continuous review inventory system.

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    Article provided by Elsevier in its journal Transportation Research Part A: Policy and Practice.

    Volume (Year): 32 (1998)
    Issue (Month): 2 (February)
    Pages: 89-97

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    Handle: RePEc:eee:transa:v:32:y:1998:i:2:p:89-97
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    1. Allen, W. Bruce & Mahmoud, Mohamed M. & McNeil, Douglas, 1985. "The importance of time in transit and reliability of transit time for shippers, receivers, and carriers," Transportation Research Part B: Methodological, Elsevier, vol. 19(5), pages 447-456, October.
    2. Gary D. Eppen & R. Kipp Martin, 1988. "Determining Safety Stock in the Presence of Stochastic Lead Time and Demand," Management Science, INFORMS, vol. 34(11), pages 1380-1390, November.
    3. Blumenfeld, Dennis E. & Burns, Lawrence D. & Diltz, J. David & Daganzo, Carlos F., 1985. "Analyzing trade-offs between transportation, inventory and production costs on freight networks," Transportation Research Part B: Methodological, Elsevier, vol. 19(5), pages 361-380, October.
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