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Quadratic Programming for Least-Cost Feed Formulations under Probabilistic Protein Constraints

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  • Joyce T. Chen

Abstract

This paper shows how a stochastic programming model for least-cost feed formulations under a probabilistic protein constraint and other linear restrictions can be solved by using an iterative quadratic programming technique. As the least-cost plan for a given probability level must be E-σ efficient, the result thus obtained is optimal.

Suggested Citation

  • Joyce T. Chen, 1973. "Quadratic Programming for Least-Cost Feed Formulations under Probabilistic Protein Constraints," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 55(2), pages 175-183.
    • Handle: RePEc:oup:ajagec:v:55:y:1973:i:2:p:175-183.
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    File URL: http://hdl.handle.net/10.2307/1238434
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    Citations

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    Cited by:

    1. Park, M. William & Batie, Sandra S., 1979. "A Stochastic Methodology For Estimating The Value Of Wetlands In Controlling Agricultural Nonpoint Pollution," 1979 Annual Meeting, July 29-August 1, Pullman, Washington 278226, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    2. Wicks, John A. & Guise, John W.B., 1978. "An Alternative Solution To Linear Programming Problems With Stochastic Input-Output Coefficients," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 22(1), pages 1-19, April.
    3. Gali, Jyothi & Brown, Colin G., 2000. "Assisting decision-making in Queensland barley production through chance constrained programming," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 44(2), pages 1-19.
    4. 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.
    5. Giada Spaccapanico Proietti & Mariagiulia Matteucci & Stefania Mignani & Bernard P. Veldkamp, 2024. "Chance-Constrained Automated Test Assembly," Journal of Educational and Behavioral Statistics, , vol. 49(1), pages 92-120, February.
    6. Torres-Rojo, J. M., 2001. "Risk management in the design of a feeding ration: a portfolio theory approach," Agricultural Systems, Elsevier, vol. 68(1), pages 1-20, April.
    7. Kaplan, Jonathan D., 2001. "Prevention Versus Utilization Of Excess Nutrients From Animal Feeding Operations:The Case Of Managing Nutrient Uncertainty," 2001 Annual meeting, August 5-8, Chicago, IL 20533, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    8. Kim, C.S. & Schaible, Glenn D. & Segarra, Eduardo, 1990. "The Deterministic Equivalents of Chance-Constrained Programming," Journal of Agricultural Economics Research, United States Department of Agriculture, Economic Research Service, vol. 42(2), pages 1-9.
    9. Hassan, Rashid M. & Hallam, Arne & D'Silva, B., 1988. "Stochastic Technology in a Programming Framework: A Generalized E. V. Model," 1988 Annual Meeting, August 1-3, Knoxville, Tennessee 270212, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    10. Rosshairy Abd. Rahman & Graham Kendall & Razamin Ramli & Zainoddin Jamari & Ku Ruhana Ku-Mahamud, 2017. "Shrimp Feed Formulation via Evolutionary Algorithm with Power Heuristics for Handling Constraints," Complexity, Hindawi, vol. 2017, pages 1-12, November.

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