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A General Framework For Grain Blending And Segregation

Author

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  • Sivaraman, Eswar
  • Lyford, Conrad P.
  • Brorsen, B. Wade

Abstract

The Hennessy and Wahl model of optimal grain blending and segregation (GBS) is extended to the case where it is not possible to separate components within a load. Analytical solutions are not available when segregation is the optimal strategy, and so solutions are obtained with nonlinear optimization. The model is then used to determine the optimal sorting of hard red winter wheat by protein content. Most of the benefits from sorting can be obtained with only two bins.

Suggested Citation

  • Sivaraman, Eswar & Lyford, Conrad P. & Brorsen, B. Wade, 2002. "A General Framework For Grain Blending And Segregation," Journal of Agribusiness, Agricultural Economics Association of Georgia, vol. 20(2).
  • Handle: RePEc:ags:jloagb:14723
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    File URL: http://purl.umn.edu/14723
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    Cited by:

    1. Yoon, Byung-Sam & Brorsen, B. Wade & Lyford, Conrad P., 2002. "Value Of Increasing Kernel Uniformity," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 27(02), December.
    2. Johnson, D. Demcey, 2005. "Sorting and Blending Under Quality Uncertainty: Application to Wheat Protein," 2005 Annual Meeting, July 6-8, 2005, San Francisco, California 36316, Western Agricultural Economics Association.
    3. Ruiqing Miao & David A. Hennessy, 2015. "Optimal Protein Segregation Strategies for Wheat Growers," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 63(3), pages 309-331, September.

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