Department of Economics and Business Economics

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

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  • Reza Pourmoayed
  • ,
  • Lars Relund Nielsen
  • Anders Ringgaard Kristensen, Department of Large Animal Sciences, KU-LIFE, Denmark
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.
Original languageEnglish
JournalEuropean Journal of Operational Research
Pages (from-to)925-938
Publication statusPublished - 2016

    Research areas

  • OR in agriculture, Stochastic programming, Hierarchical Markov decision process, Herd management, Bayesian updating

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