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Economic Replacement of a Heterogeneous Herd

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Listed:
  • Kathryn A. Boys
  • Ning Li
  • Paul V. Preckel
  • Allan P. Schinckel
  • Kenneth A. Foster

Abstract

A model was developed to determine the optimal slaughter weights of pigs with heterogeneous growth raised in a 1,000 head barn and marketed in truckload groups. Under commonly used revenue schemes, which include discounts for weight and leanness, the optimal strategy was to market one or two truckloads of the heaviest animals, to wait several days, and then to market the rest of the herd. This multiple marketing strategy allows the producer to avoid some sort losses for heavy animals, but only modestly extends the grow/finish period, reflecting the dominance of the opportunity cost of facilities in the herd replacement decision. Copyright 2007, Oxford University Press.

Suggested Citation

  • Kathryn A. Boys & Ning Li & Paul V. Preckel & Allan P. Schinckel & Kenneth A. Foster, 2007. "Economic Replacement of a Heterogeneous Herd," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 89(1), pages 24-35.
    • Handle: RePEc:oup:ajagec:v:89:y:2007:i:1:p:24-35
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    File URL: http://hdl.handle.net/10.1111/j.1467-8276.2007.00960.x
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    Cited by:

    1. Leen, Frederik & Van den Broeke, Alice & Aluwé, Marijke & Ludwig, Lauwers & Sam, Millet & Jef, Van Meensel, 2017. "Simulation Modelling To Provide Insights Into The Optimization Of Delivery Weights Of Finisher Pigs," 2017 International Congress, August 28-September 1, 2017, Parma, Italy 261272, European Association of Agricultural Economists.
    2. Thompson, Nathanael M. & DeVuyst, Eric A. & Brorsen, B. Wade & Lusk, Jayson L., 2014. "Value of Genetic Information for Beef Cattle at the Feedlot Stage," 2014 Annual Meeting, February 1-4, 2014, Dallas, Texas 162431, Southern Agricultural Economics Association.
    3. Thompson, Nathanael M. & DeVuyst, Eric A. & Brorsen, B. Wade & Lusk, Jayson L., 2014. "Value of Genetic Information for Management and Selection of Feedlot Cattle," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 39(1), pages 1-17, April.
    4. Reza Pourmoayed & Lars Relund Nielsen, 2022. "Optimizing pig marketing decisions under price fluctuations," Annals of Operations Research, Springer, vol. 314(2), pages 617-644, July.
    5. Leen, Frederik & Van den Broeke, Alice & Aluwé, Marijke & Lauwers, Ludwig & Millet, Sam & Van Meensel, Jef, 2018. "Stakeholder-driven modelling the impact of animal profile and market conditions on optimal delivery weight in growing-finishing pig production," Agricultural Systems, Elsevier, vol. 162(C), pages 34-45.
    6. Sara Rodríguez & Lluis Plà & Javier Faulin, 2014. "New opportunities in operations research to improve pork supply chain efficiency," Annals of Operations Research, Springer, vol. 219(1), pages 5-23, August.
    7. Pourmoayed, Reza & Nielsen, Lars Relund, 2019. "An approximate dynamic programming approach for sequential pig marketing decisions at herd level," European Journal of Operational Research, Elsevier, vol. 276(3), pages 1056-1070.
    8. Hubbs, Todd & Preckel, Paul V. & Schinckel, Allan P. & Deen, John & Foster, Kenneth A. & Curtis, Stanley E. & Johnson, E. Wayne, 2008. "The New Economics of Livestock Production Management," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6146, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    9. Jeffrey Ohlmann & Philip Jones, 2011. "An integer programming model for optimal pork marketing," Annals of Operations Research, Springer, vol. 190(1), pages 271-287, October.
    10. Pourmoayed, Reza & Nielsen, Lars Relund & Kristensen, Anders Ringgaard, 2016. "A hierarchical Markov decision process modeling feeding and marketing decisions of growing pigs," European Journal of Operational Research, Elsevier, vol. 250(3), pages 925-938.

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