Review of mathematical models for sow herd management
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Date
2007
Authors
Pla Aragonés, Lluís Miquel
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Abstract
This paper is a survey of the different sow models described in literature, which made use of different mathematical
methodologies, and were intended for sow herd management. Models were discussed under a wide classification, that is, simulation
and optimisation. The latter included linear programming and dynamic programming with Markov decision models and optimal
control as major representative models. In a first stage we recalled general traits and modelling foundations of herd management
models and later, different aspects of sow herd models published up to now were reviewed. Special attention is paid to main
variables, source of parameters, validation, output and intended use. Most of such models have been developed as research tools
and teaching aids. Actually, the increasing ability to represent complex systems is not corresponded with an augmentation of
decision support tools including such complex models in field conditions. Thus, a need of new proposals dealing with transient
situations and non-time homogeneous parameters was detected. The inclusion of variability-risk features and multicriteria decision
methods was also of interest for practical purposes. Actual changes in the pig sector lead to expect new management herd models,
in particular considering more than one herd at a time.
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Livestock Science, 2007, vol. 106, núm. 2-3, p. 107-119