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A Multi-Attribute Utility Model to Optimise Sow Replacement Decisions

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  • Huirne, R B M
  • Hardaker, J B

Abstract

An existing stochastic dynamic programming model is expanded so that its output can be used as input to a multi-attribute utility model to determine the optimal replacement policy in swine breeding herds. The models include six attributes: future profitability of the sow (from the dynamic programming model), piglet mortality rate, pigs crushed by the dam, savaged and stillborn pigs, undersized pigs at birth, and undersized pigs at weaning. The aim is to rank sows for replacement purposes. The model provides stable rankings that differ from those based only on the dynamic programming model. There was good correspondence between the model@ ranking of 30 sows and rankings provided by two experts. Copyright 1998 by Oxford University Press.

Suggested Citation

  • Huirne, R B M & Hardaker, J B, 1998. "A Multi-Attribute Utility Model to Optimise Sow Replacement Decisions," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 25(4), pages 488-505.
    • Handle: RePEc:oup:erevae:v:25:y:1998:i:4:p:488-505
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    Cited by:

    1. Arriaza Balmón, Manuel & Gomez-Limon, Jose Antonio, 2003. "Modelling Farmers' Response To A Decoupled Subsidy Via Multi-Attribute Utility Theory And E-V Analysis," 2003 Annual Meeting, August 16-22, 2003, Durban, South Africa 25925, International Association of Agricultural Economists.
    2. Gomez-Limon, Jose A. & Martinez, Yolanda, 2006. "Multi-criteria modelling of irrigation water market at basin level: A Spanish case study," European Journal of Operational Research, Elsevier, vol. 173(1), pages 313-336, August.
    3. Gomez-Limon, Jose Antonio & Riesgo, Laura & Arriaza Balmón, Manuel, 2003. "Multi-Criteria Analysis Of Factors Use Level: The Case Of Water For Irrigation," 2003 Annual Meeting, August 16-22, 2003, Durban, South Africa 25836, International Association of Agricultural Economists.
    4. Berkhout, E.D. & Schipper, R.A. & Van Keulen, H. & Coulibaly, O., 2011. "Heterogeneity in farmers' production decisions and its impact on soil nutrient use: Results and implications from northern Nigeria," Agricultural Systems, Elsevier, vol. 104(1), pages 63-74, January.
    5. Gomez-Limon, Jose A. & Riesgo, Laura, 2004. "Irrigation water pricing: differential impacts on irrigated farms," Agricultural Economics, Blackwell, vol. 31(1), pages 47-66, July.
    6. Gómez-Limón, José A. & Gutiérrez-Martín, Carlos & Riesgo, Laura, 2016. "Modeling at farm level: Positive Multi-Attribute Utility Programming," Omega, Elsevier, vol. 65(C), pages 17-27.
    7. van Calker, K.J. & Berentsen, P.B.M. & Romero, C. & Giesen, G.W.J. & Huirne, R.B.M., 2006. "Development and application of a multi-attribute sustainability function for Dutch dairy farming systems," Ecological Economics, Elsevier, vol. 57(4), pages 640-658, June.
    8. Arriaza Balmón, Manuel & Gomez-Limon, Jose A. & Upton, Martin, 1997. "Local water markets for irrigation in southern Spain: A multicriteria approach," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 46(1), pages 1-23.
    9. Arriaza Balmón, Manuel & Gomez-Limon, Jose Antonio & Gonzalez, Jose & Ruiz, Pedro, 2006. "Viability of the Raw Cotton Production in Spain After the Decoupling of the Subsidies," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25445, International Association of Agricultural Economists.

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