A hierarchical Markov decision process modeling feeding and marketing decisions of growing pigs
针对生长猪生产中何时更换饲料配方和何时销售的问题，构建了一个三层分层马尔可夫决策模型，利用贝叶斯方法更新猪舍状态，帮助养殖者优化饲喂与销售决策。
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.