Production volume prediction in a merged line-type plant by Sequential Selective Gradient Boosting

This paper proposes a method for predicting the number of productions by sequentially selective gradient boosting process. This research focuses on merged line-type plants. In this research, machine learning-based production volume prediction was used to solve the production problems of this factory. We are also trying to improve our production volume prediction method to make it more accurate and thus to build a practical production volume prediction system. We think that the production volume prediction based on the proposed method can make a significant contribution to solving the production problem.