Abstract
To be competitive in the market, each company tries to decrease all kind of waste in the production system, for this reason, the company try to put in place key performance indicators used to measure the company performance, one of the good indicators used is the overall equipment effectiveness (OEE). This study aims to predict the OEE using the supervised machine learning techniques, known by their ability to treat an important size of data, the supervised learning techniques will help us to treat the data and know the trajectory of the company performance. In our case, we have used the Bayesian Ridge regression algorithm. The results of applying this technique show a very high accuracy higher than 99%.
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