IDEAS home Printed from https://ideas.repec.org/p/ags/aare06/139913.html
   My bibliography  Save this paper

Optimal Feed Mill Blending

Author

Listed:
  • Tozer, Peter R.
  • Stokes, Jeffrey R.

Abstract

Commercial feed blending is a complex process consisting of many potential raw ingredients and final products. The sheer number of daily orders and final products at a typical feed mill means that raw ingredients cannot be mixed to directly produce final products in an economical fashion. As a result, the intermediate production of pellets with pre-specified nutritional content is a necessity that makes the feed blending problem highly nonlinear. A nonlinear approach to feed blending is discussed and results from an empirical application are compared to the results from a sequential linear programming approach common to most feed mills.

Suggested Citation

  • Tozer, Peter R. & Stokes, Jeffrey R., 2006. "Optimal Feed Mill Blending," 2006 Conference (50th), February 8-10, 2006, Sydney, Australia 139913, Australian Agricultural and Resource Economics Society.
  • Handle: RePEc:ags:aare06:139913
    DOI: 10.22004/ag.econ.139913
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/139913/files/2006_tozerstokes.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.139913?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
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Uday S. Karmarkar & Kumar Rajaram, 2001. "Grade Selection and Blending to Optimize Cost and Quality," Operations Research, INFORMS, vol. 49(2), pages 271-280, April.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Francesco Gaglioppa & Lisa A. Miller & Saif Benjaafar, 2008. "Multitask and Multistage Production Planning and Scheduling for Process Industries," Operations Research, INFORMS, vol. 56(4), pages 1010-1025, August.
    2. Rajaram, Kumar & Robotis, Andreas, 2004. "Analyzing variability in continuous processes," European Journal of Operational Research, Elsevier, vol. 156(2), pages 312-325, July.
    3. Benhamou, Latifa & Giard, Vincent & Khouloud, Mehdi & Fenies, Pierres & Fontane, Frédéric, 2020. "Reverse Blending: An economically efficient approach to the challenge of fertilizer mass customization," International Journal of Production Economics, Elsevier, vol. 226(C).
    4. Lingxiu Dong & Panos Kouvelis & Xiaole Wu, 2014. "The Value of Operational Flexibility in the Presence of Input and Output Price Uncertainties with Oil Refining Applications," Management Science, INFORMS, vol. 60(12), pages 2908-2926, December.
    5. Felipe Caro & Kumar Rajaram & Jens Wollenweber, 2012. "Process Location and Product Distribution with Uncertain Yields," Operations Research, INFORMS, vol. 60(5), pages 1050-1063, October.

    More about this item

    Keywords

    Agribusiness; Crop Production/Industries;

    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:ags:aare06:139913. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/aaresea.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.