Data Mining-Based Prediction of Manufacturing Situations

The paper proposes an approach to the early detection of factors implying the need in production schedule update. Resource state prediction methods are based on the development of a binary model and a machine learning techniques called association rules search. (C) 2018, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.