IDEAS home Printed from https://ideas.repec.org/a/ids/ijsoma/v2y2006i1p95-108.html
   My bibliography  Save this article

Optimal single period order size under uncertain demand incorporating freight costs

Author

Listed:
  • P. L. Abad

Abstract

There is now greater scrutiny of freight costs by buyers who want to control inbound logistics cost. In this study, we consider the lot size problem faced by a buyer who plans product availability for a style good which has uncertain demand for the season. The buyer has only one opportunity to procure the good prior to the season and is responsible for paying for the freight. A buyer may opt for paying for the freight if he sees an opportunity for savings on freight costs. In some cases, the supplier may allow only for FOB origin orders. The order may span several truckload shipments and a remnant less-than-truckload shipment. We represent the freight cost for a less-than-truckload shipment by freight tariffs offered by public motor carriers, in practice. These freight tariffs typically entail six to seven breakpoints in terms of the weight of the shipment.

Suggested Citation

  • P. L. Abad, 2006. "Optimal single period order size under uncertain demand incorporating freight costs," International Journal of Services and Operations Management, Inderscience Enterprises Ltd, vol. 2(1), pages 95-108.
  • Handle: RePEc:ids:ijsoma:v:2:y:2006:i:1:p:95-108
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=9030
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Hua, Guowei & Wang, Shouyang & Cheng, T.C.E., 2012. "Optimal order lot sizing and pricing with free shipping," European Journal of Operational Research, Elsevier, vol. 218(2), pages 435-441.
    2. Hua, Guowei & Wang, Shouyang & Cheng, T.C.E., 2012. "Optimal pricing and order quantity for the newsvendor problem with free shipping," International Journal of Production Economics, Elsevier, vol. 135(1), pages 162-169.
    3. Andrew Manikas & Michael Godfrey, 2018. "A Spreadsheet Approach For Incorporating Actual Motor Carrier Freight Rates And External Environmental Costs In A Newsvendor Model," International Journal of Management and Marketing Research, The Institute for Business and Finance Research, vol. 11(1), pages 55-72.

    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:ids:ijsoma:v:2:y:2006:i:1:p:95-108. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=150 .

    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.