Multiobjective stochastic programming for feed formulation

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 mo...

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Bibliographic Details
Published in:	The Journal of the Operational Research Society Vol. 60; no. 12; pp. 1738 - 1748
Main Authors:	Peña, T, Lara, P, Castrodeza, C
Format:	Journal Article
Language:	English
Published:	London Taylor & Francis 01.12.2009 Palgrave Macmillan Palgrave Macmillan UK Taylor & Francis Ltd
Subjects:	agriculture Animals Applied sciences Approximation Business and Management Decision theory. Utility theory Diet Dietary minerals Economic costs Exact sciences and technology Feed formulation Feed science Feeds Fish byproducts Ingredients Linear programming Management Mathematical programming Minimization of cost multi-objective fractional programming Normal distribution Nutrients Nutritional requirements Operational research and scientific management Operational research. Management science Operations research Operations Research/Decision Theory Probability Random variables Safety factors Standard deviation Stochastic models stochastic programming Studies Swine Theoretical Paper Theoretical Papers agriculture multi-objective fractional programming stochastic programming Stochastic model Probabilistic approach Decision making Variability Multiobjective programming Machine feed Linear programming Modeling Linear model Stochastic programming Diet Preference Agriculture Fractional programming Rational function
ISSN:	0160-5682, 1476-9360
Online Access:	Get full text
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