ACCEPTANCE OF ECONOMICLY BASED MANAGEMENT DECISIONS AT MINING ENTERPRISES AND THEIR RELATIONSHIPS WITH PUBLIC ADMINISTRATION

The state of the problem of economic assessment of the iron ore stoping process when making decisions on managing the production process at iron ore underground mining enterprises is under investigation. It is established that when organizing optimal management of ore mining and production of commercial types of iron ore products, the basic aspect is management of the ore stoping process. Making optimal management decisions on its implementation is based on an economic assessment of efficiency of these decisions by their impact on economic results of the entire production process. These decisions are made when designing and implementing the stoping process in practice. At present, the methods of such an assessment are not satisfactory, because they do not reveal actual effectiveness of the stoping process as this system is based on an indicator that does not consider economic characteristics of the ore reserve. The authors develop a system for economic assessment of stoping efficiency, which allows you to correctly evaluate efficiency of the process. The system relies on the Index of Completeness of applying the economic potential of the balance ore reserve. Its value is calculated by means of the ratio between the economic potential, which has a balance ore reserve of mining blocks/panels to the value of a commercial iron ore product made from this reserve. The second developed indicator is the Index of Economic Variability, which reflects the degree of deviation of the projected cost of the mined ore mass from the value of the economically justified limit of the cost of a commercial iron ore product for the withdrawal of specific financial costs required for ore beneficiation. The authors develop methods to determine the values of all the parameters necessary for calculating the above indices. The described provisions form the basis of a computer system for performing economic and mathematical modeling of the stoping process.