Mining Enterprise Production Line Optimal Load Modelling

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The article is devoted to the issues of the mining enterprise production line optimal load model. A large number of issues to related to alternative production plan implementation transition are considered in various works. A mathematical model to form an optimal plan mining enterprise raw material mixture from deposits is proposed in the study. A method of multi-criteria alternative ranking in terms of integral efficiency indicator with the following problem solution of optimal plan determination for a raw material mixture from deposits was chosen for that purpose. The article proposes an approach to determine the production line optimal loading plan of a mining enterprise based on the creation of an ore mixture with the highest utility. The value of a particular deposit is determined by a variety of factors, including the distance from the production line, the ore content in the rock, and the volume of the deposit. The paper shows that the development of a specified field management can be implemented based on solving linear programming problems. The hierarchy contains three levels: the system purpose; the factors influencing the deposit appeal (the metal content, the deposit volume, and transport accessibility); alternatives (deposits of raw materials directly). Let's assume that it is necessary to find the maximum efficiency by means of an ore mixture from the given deposits. Resource restrictions are imposed on the task: the work and machine time fund, the amount of first type reagent, and the amount of second type reagent. The composition of the constraint vector can be set depending on the value of the resources. The study found that the optimal plan is implemented under the complete resource utilization both of the first and the second types and a fifty-three percent level of the third resource utilization. Despite the low integral assessment of the raw material value of the fourth deposit, which is mainly determined by the low ore content in the rock, with respect to other deposits, its maximum utilization is also recommended, which in turn, is determined by the low resource intensity of ore extraction from this rock.