A data‐driven Bayesian approach for optimal dynamic product transitions
Antonio Flores‐Tlacuahuac,
Luis Fabián Fuentes‐Cortés
Abstract:In the processing industry, dynamic product transitions are essential for achieving high product quality, minimizing the use of raw materials and energy and reducing production costs. However, optimizing dynamic product transitions is a challenging task due to the complex dynamics of the process and the uncertainty in the measurements. In this article, a data‐driven Bayesian approach for optimal dynamic product transitions is proposed. The proposed approach is based on a dynamic optimization problem that is so… Show more
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