Welcome to i4QLRT

The objective of the described algorithm is to adjust the configuration parameters of a production line to optimize its performance and ensure product quality. The algorithm is implemented as part of the i4Q Line Reconfiguration Toolkit (i4Q_LRT_PR), funded by the European Union's Horizon 2020 research and innovation program. This toolkit focuses on real-time reconfiguration of production lines to improve efficiency and reduce defects in the manufacturing process.

The algorithm uses machine learning techniques provided by the PyCaret library to adjust and optimize production line configuration parameters based on the relative importance of each parameter and on predictions from the trained model.