IDEAS home Printed from https://ideas.repec.org/a/inm/orinte/v24y1994i2p53-58.html
   My bibliography  Save this article

Using Chance-Constrained Programming for Animal Feed Formulation at Agway

Author

Listed:
  • William B. Roush

    (Poultry Science Department, Pennsylvania State University, University Park, Pennsylvania 16802)

  • Robert H. Stock

    (Agriculture Group, Agway, Inc., Syracuse, New York 13221-4741)

  • Terri L. Cravener

    (Poultry Science Department, Pennsylvania State University, University Park, Pennsylvania 16802)

  • Thomas H. D'Alfonso

    (Department of Agricultural and Biological Engineering, Pennsylvania State University, University Park, Pennsylvania 16802)

Abstract

Agway uses chance-constrained programming to formulate commercial feeds for animals. The finished feeds averaged 40 percent greater nutritional consistency and were lower in cost than feeds formulated by traditional linear programming with a margin of safety. Formulating animal feeds by chance-constrained programming saves Agway, Inc. more than $250,000 per year.

Suggested Citation

  • William B. Roush & Robert H. Stock & Terri L. Cravener & Thomas H. D'Alfonso, 1994. "Using Chance-Constrained Programming for Animal Feed Formulation at Agway," Interfaces, INFORMS, vol. 24(2), pages 53-58, April.
  • Handle: RePEc:inm:orinte:v:24:y:1994:i:2:p:53-58
    DOI: 10.1287/inte.24.2.53
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/inte.24.2.53
    Download Restriction: no

    File URL: https://libkey.io/10.1287/inte.24.2.53?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. Andrés Weintraub & Carlos Romero, 2006. "Operations Research Models and the Management of Agricultural and Forestry Resources: A Review and Comparison," Interfaces, INFORMS, vol. 36(5), pages 446-457, October.
    2. T Peña & P Lara & C Castrodeza, 2009. "Multiobjective stochastic programming for feed formulation," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(12), pages 1738-1748, December.
    3. Frederic H. Murphy, 2005. "ASP, The Art and Science of Practice: Elements of a Theory of the Practice of Operations Research: Expertise in Practice," Interfaces, INFORMS, vol. 35(4), pages 313-322, August.
    4. Yi Zhao & Ronghui Liu & Xi Zhang & Anthony Whiteing, 2018. "A chance-constrained stochastic approach to intermodal container routing problems," PLOS ONE, Public Library of Science, vol. 13(2), pages 1-22, February.

    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:orinte:v:24:y:1994:i:2:p:53-58. 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.