Management of the technical condition of engineering equipment for packaging and dosing in the production of building materials.

Introduction. The most widespread today, modern predictive analytics platforms such as: “Foresight Analytical Platform”, KNIME Analytics Platform, SAS Enterprise Miner, Loginom, have a number of features that limit their use in small businesses. Materials and method. As part of the work on the dissertation on the topic "Management of the technical condition of engineering equipment for packaging and dosing in the production of building materials", a hypothesis was put forward that the combined use of cluster and qualimetric analysis of big data allows for the prediction of changes in the phases of the life cycle with an accuracy of at least 95%, which ensures a reduction in operating costs by at least 15-20% due to the optimization of the timing of maintenance and replacement of elements of engineering equipment. Results. The article compares modern predictive analytics platforms with the methodology developed in the dissertation. The implementation of the developed methodology in production conditions is considered.. Conclusions. The developed methodology for managing the technical condition of engineering equipment for packaging and dosing in the production of building materials is of interest in the field of construction.