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Economic Replacement Of A Heterogeneous Herd

Author

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

Abstract

A model was developed and used to determine the optimal slaughter weights of pigs with heterogeneous growth raised in a 1,000 head barn and marketed in truckload groups. Explicitly recognizing the heterogeneity of pig weights and marketing the herd over time in truckload batches can substantially increase profit.

Suggested Citation

  • Boys, Kathryn A. & Li, Ning & Preckel, Paul V. & Schinckel, Allan P. & Foster, Kenneth A., 2005. "Economic Replacement Of A Heterogeneous Herd," 2005 Annual meeting, July 24-27, Providence, RI 19239, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    • Handle: RePEc:ags:aaea05:19239
    DOI: 10.22004/ag.econ.19239
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    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. 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).
    5. 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.
    6. 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.
    7. 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.
    8. Niemi, Jarkko K. & Sevón-Aimonen, Marja-Liisa, 2009. "PR - Economically Optimal Pig Delivery Scheduling And The Design Of Meat Pricing Schemes When Pig Group Is Heterogeneous," 17th Congress, Illinois State University, USA, July 19-24, 2009 345519, International Farm Management Association.
    9. 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.
    10. 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.
    11. 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.

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