IDEAS home Printed from https://ideas.repec.org/a/inm/ortrsc/v19y1985i4p436-444.html
   My bibliography  Save this article

Dependence between Shipment Size and Mode in Freight Transportation

Author

Listed:
  • Randolph W. Hall

    (Transportation Research Department, General Motors Research Laboratories, Warren, Michigan)

Abstract

This note examines the dependence between freight mode and shipment size when they are chosen simultaneously to minimize transportation and inventory cost. Transportation modes which consolidate freight over many origins and destinations are shown to be least expensive for small supplier production rates (i.e., flows between the supplier and customer); transportation modes which do not consolidate are least expensive for large production rates. Optimal shipment size is a discontinuous function of production rate. Thus, certain shipment sizes are never optimal.

Suggested Citation

  • Randolph W. Hall, 1985. "Dependence between Shipment Size and Mode in Freight Transportation," Transportation Science, INFORMS, vol. 19(4), pages 436-444, November.
    • Handle: RePEc:inm:ortrsc:v:19:y:1985:i:4:p:436-444
    DOI: 10.1287/trsc.19.4.436
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/trsc.19.4.436
    Download Restriction: no
    File URL: https://libkey.io/10.1287/trsc.19.4.436?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Engebrethsen, Erna & Dauzère-Pérès, Stéphane, 2019. "Transportation mode selection in inventory models: A literature review," European Journal of Operational Research, Elsevier, vol. 279(1), pages 1-25.
    2. Afaf Haial & Loubna Benabbou & Abdelaziz Berrado, 2021. "Designing a Transportation-Strategy Decision-Making Process for a Supply Chain: Case of a Pharmaceutical Supply Chain," IJERPH, MDPI, vol. 18(4), pages 1-29, February.
    3. Sophie D. Lapierre & Angel B. Ruiz & Patrick Soriano, 2004. "Designing Distribution Networks: Formulations and Solution Heuristic," Transportation Science, INFORMS, vol. 38(2), pages 174-187, May.
    4. Abate, Megersa & de Jong, Gerard, 2014. "The optimal shipment size and truck size choice – The allocation of trucks across hauls," Transportation Research Part A: Policy and Practice, Elsevier, vol. 59(C), pages 262-277.
    5. Holguín-Veras, José & Kalahasthi, Lokesh & Campbell, Shama & González-Calderón, Carlos A. & (Cara) Wang, Xiaokun, 2021. "Freight mode choice: Results from a nationwide qualitative and quantitative research effort," Transportation Research Part A: Policy and Practice, Elsevier, vol. 143(C), pages 78-120.
    6. Raphael Piendl & Martin Koning & François Combes & Gernot Liedtke, 2022. "Building latent segments of goods to improve shipment size modeling: Confirmatory evidence from France," Post-Print hal-04117547, HAL.
    7. Tyworth, John E. & Zeng, Amy Zhaohui, 1998. "Estimating the effects of carrier transit-time performance on logistics cost and service," Transportation Research Part A: Policy and Practice, Elsevier, vol. 32(2), pages 89-97, February.
    8. Jose Holguín-Veras & Ning Xu & Gerard Jong & Hedi Maurer, 2011. "An Experimental Economics Investigation of Shipper-carrier Interactions in the Choice of Mode and Shipment Size in Freight Transport," Networks and Spatial Economics, Springer, vol. 11(3), pages 509-532, September.
    9. Martin Koning & François Combes & Raphael Piendl & Gernot Liedtke, 2018. "Transferability of models for logistics behaviors: A cross-country comparison between France and Germany for shipment size choice [La transférabilité des modèles de comportements logistiques : Une ," Post-Print hal-01916081, HAL.
    10. Kalahasthi, Lokesh & Holguín-Veras, José & Yushimito, Wilfredo F., 2022. "A freight origin-destination synthesis model with mode choice," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 157(C).
    11. Piendl, Raphael & Liedtke, Gernot & Matteis, Tilman, 2017. "A logit model for shipment size choice with latent classes – Empirical findings for Germany," Transportation Research Part A: Policy and Practice, Elsevier, vol. 102(C), pages 188-201.
    12. Keya, Nowreen & Anowar, Sabreena & Eluru, Naveen, 2019. "Joint model of freight mode choice and shipment size: A copula-based random regret minimization framework," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 125(C), pages 97-115.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:inm:ortrsc:v:19:y:1985:i:4:p:436-444. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.