Multiobjective stochastic programming for feed formulation

T Peña (), P Lara and C Castrodeza ()
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T Peña: University of Valladolid
P Lara: University of Córdoba
C Castrodeza: University of Valladolid

Journal of the Operational Research Society, 2009, vol. 60, issue 12, 1738-1748

Abstract: Abstract The minimum cost linear programming model used traditionally for feed formulation does not take account of variability of nutrients in feed ingredients. Therefore, it may be that the nutrient requirements of the animal are not adequately met. In this paper, we show how a multiobjective stochastic model that permits confronting the cost of the ration with the probabilities of meeting the nutrient requirements of the animal can enhance the process of animal diet formulation. The model presented here does not require any a priori information from the decision maker, eliciting his preferences through an interactive process. This is the main advantage in relation to other models found in the literature for treating the problem of nutrient variability, which introduce stochastic constraints in the single objective minimum cost model requiring fixing the level of probability desired for each one of the nutrients in advance.

Keywords: multi-objective fractional programming; stochastic programming; agriculture (search for similar items in EconPapers)
Date: 2009
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Citations: View citations in EconPapers (3)

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DOI: 10.1057/jors.2008.106

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