A hierarchical Markov decision process modeling feeding and marketing decisions of growing pigs

Reza Pourmoayed; Lars Relund Nielsen; Anders Ringgaard Kristensen

doi:10.1016/j.ejor.2015.09.038

A hierarchical Markov decision process modeling feeding and marketing decisions of growing pigs

Reza Pourmoayed, Lars Relund Nielsen, Anders Ringgaard Kristensen

15 Citationer (Scopus)

Abstract

Feeding is the most important cost in the production of growing pigs and has a direct impact on the marketing decisions, growth and the final quality of the meat. In this paper, we address the sequential decision problem of when to change the feed-mix within a finisher pig pen and when to pick pigs for marketing. We formulate a hierarchical Markov decision process with three levels representing the decision process. The model considers decisions related to feeding and marketing and finds the optimal decision given the current state of the pen. The state of the system is based on information from on-line repeated measurements of pig weights and feeding and is updated using a Bayesian approach. Numerical examples are given to illustrate the features of the proposed optimization model.

Originalsprog	Engelsk
Tidsskrift	European Journal of Operational Research
Vol/bind	250
Udgave nummer	3
Sider (fra-til)	925-938
Antal sider	14
ISSN	0377-2217
DOI	https://doi.org/10.1016/j.ejor.2015.09.038
Status	Udgivet - 1 maj 2016

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10.1016/j.ejor.2015.09.038

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abstract = "Feeding is the most important cost in the production of growing pigs and has a direct impact on the marketing decisions, growth and the final quality of the meat. In this paper, we address the sequential decision problem of when to change the feed-mix within a finisher pig pen and when to pick pigs for marketing. We formulate a hierarchical Markov decision process with three levels representing the decision process. The model considers decisions related to feeding and marketing and finds the optimal decision given the current state of the pen. The state of the system is based on information from on-line repeated measurements of pig weights and feeding and is updated using a Bayesian approach. Numerical examples are given to illustrate the features of the proposed optimization model.",

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AU - Pourmoayed, Reza

AU - Nielsen, Lars Relund

AU - Kristensen, Anders Ringgaard

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N2 - Feeding is the most important cost in the production of growing pigs and has a direct impact on the marketing decisions, growth and the final quality of the meat. In this paper, we address the sequential decision problem of when to change the feed-mix within a finisher pig pen and when to pick pigs for marketing. We formulate a hierarchical Markov decision process with three levels representing the decision process. The model considers decisions related to feeding and marketing and finds the optimal decision given the current state of the pen. The state of the system is based on information from on-line repeated measurements of pig weights and feeding and is updated using a Bayesian approach. Numerical examples are given to illustrate the features of the proposed optimization model.

AB - Feeding is the most important cost in the production of growing pigs and has a direct impact on the marketing decisions, growth and the final quality of the meat. In this paper, we address the sequential decision problem of when to change the feed-mix within a finisher pig pen and when to pick pigs for marketing. We formulate a hierarchical Markov decision process with three levels representing the decision process. The model considers decisions related to feeding and marketing and finds the optimal decision given the current state of the pen. The state of the system is based on information from on-line repeated measurements of pig weights and feeding and is updated using a Bayesian approach. Numerical examples are given to illustrate the features of the proposed optimization model.

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DO - 10.1016/j.ejor.2015.09.038

M3 - Journal article

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JO - European Journal of Operational Research

JF - European Journal of Operational Research

IS - 3

ER -

A hierarchical Markov decision process modeling feeding and marketing decisions of growing pigs

Abstract

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