Intelligent System of Approving Person Information Support Based on Association Rule Mining Between Errors in Design Documentation

The design documentation development and control of its quality is an important stage of the production process. The unsatisfactory control of this documentation made by approving persons will lead to problems such as: defects in products, financial loss, etc. in the future. Therefore, it is very important that as a result of the control carried out, the design documentation has had a minimum number of missed errors, and if possible—zero number. A large body of research is devoted to issues of increasing the design documentation quality, in particular the analysis of the errors identified in it. However, the analysis of the dependence between errors does not receive enough attention. A method and an intelligent system of approving person information support based on mining of association rules, reflecting the dependence between errors in the design documentation, are proposed in the paper. The suggested method and the system were tested during the normative control at one of the technical universities.