2024
DOI: 10.1002/joom.1342
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An empirically grounded analytical approach to hog farm finishing stage management: Deep reinforcement learning as decision support and managerial learning tool

Panos Kouvelis,
Ye Liu,
Danko Turcic

Abstract: In hog farming, optimizing hog sales is a complex challenge due to uncertain factors, such as hog availability, market prices, and operating costs. This study uses a Markov Decision Process (MDP) to model these decisions, revealing the importance of the final weeks in profit management. The MDP's intractability due to the curse of dimensionality leads us to employ Deep Reinforcement Learning (DRL) for optimization. Using real‐world and synthetic data, our DRL model outperforms existing practices. However, it l… Show more

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