The role of reinforcement learning in business integrated manufacturing

Auteur/ices

  • Luiza Daschievici “Dunarea de Jos“ University of Galati
  • Daniela Ghelase “Dunarea de Jos“ University of Galati

Mots-clés :

manufacturing system, competitiveness, online learning, technicaleconomical characteristics of manufacturing system

Résumé

Reinforcement learning (RL) has received some attention in recent years from researchers, because it deals with the problem of how an autonomous manufacturing system can learn to select proper actions for achieving its goals through interacting with its environment. Although there have been several successful examples demonstrating the usefulness of RL, its application to business integrated manufacturing has not been fully explored yet. The interaction between the economic environment and the manufacturing system is a major source of knowledge about the economic environment and the manufacturing system themselves.

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Publiée

2011-06-05

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Articles

Comment citer

1.
The role of reinforcement learning in business integrated manufacturing. ANN_UDJG_IM [Internet]. 5 juin 2011 [cité 2 nov. 2026];18(1):73-6. Disponible sur: https://ojs.ugal.ro/index.php/im/article/view/3769

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