Methodology for the Construction of Predictive Analysis Systems as Exemplified by the Mining Equipment in the Condition of Big Data and Simulation Methods

Abstract

Currently, almost all elements of economic activity somehow exist according to the laws of macroeconomics. This is facilitated by the rapid development of international relations, the acceleration of logistics operations, political, religious, cultural integration and unification at the level of interstate relations and interactions (as a result of the evolution of state-formed market systems). At the same time, every year more and more significant influence on macroeconom-ics is played by minor global factors that were previously practically not taken into account, such as climate change, growth of the world population, etc. Thus, today, every company seeking to be efficient and profitable needs to focus not only on the laws of the domestic market, but also on global trends when building it’s strategies and implementing tactical tasks.All the above prerequisites gave rise to a new concept of production develop-ment, called Industry 4.0. Previous scientific and technological revolution led to the automation of individual processes and devices, while Industry 4.0 provides for the end-to-end digitization of all physical assets and their integration into the digital ecosystem along with the assets of partners involved in the value chain.The creation of the concept Industry 4.0 in the framework of solving the problems of managing modern technological processes and production had several basic prerequisites. One of them is related with the fact that the complication of the socalled material part of production, of course, also leads to the complication of the organizational component. It is becoming more difficult for a modern manager to make the right management decisions. In the progression, the variability of the applied goals, conditions, restrictions, and with them the scale of possible consequences, increases. Another important reason is the fact that in modern management conditions it is necessary not only to obtain statistics and analytics of production, but also to be able to predict using the obtained data. High-performance methods should be applied to isolate the most important and relevant information at the time of the decision, with the possibility of a predictive analysis of possible options for events.