The most important means of improving blast-furnace performance is to supply high-quality batch – in particular, high-quality coke. Under the conditions of the formed multi-basin raw material base of coking, which predetermines the differences in the technological properties and material composition of imported and domestic coal concentrates, it is necessary to clarify and improve the basic technological methods of preparation for their use in coal mixtures. Achieving optimal characteristics of coke for blast furnace smelting conditions is possible with a comprehensive, scientifically based approach to improving the technology of preparing coal for coking, which consists in developing methods and technological measures aimed at optimizing the composition, properties and degree of grinding of the batch, taking into account its petrographic characteristics.

In this article, a systematic methodology for analyzing and assessing the effectiveness of human resources based on fuzzy sets using big data technologies is used. Based on our research, we analyzed the big data construction method for our chosen approach using Industry 4.0. For the selected fuzzy sets, a set of sequence of procedures in the sequence of the method for assessing the effectiveness of human resources have been identified. Input and output membership functions for data mining have been developed. This article discusses process of building rules of fuzzy logic that allowed us to determine the degree of truth for each condition. The relevance achieved through the development of a methodology that includes eight procedures required for a comprehensive assessment of the economic efficiency of human resources. In this article, an approach to assessing the normative or average values of the performance of official duties by employees of an enterprise in many specialties, educational levels, levels of management, as well as taking into account the description of many positions, descriptions of compliance and interchangeability of positions, assessment of additional characteristics of employees and a description of many additional tasks and their characteristics is presented. The article presents a structural data-mining model for personnel assessment. The results of modeling the assessment of human resources is presented.

The aim of the work is to develop and test technological regimes for obtaining new types of shelled iron ore materials and mono-raw materials for blast furnace smelting. It is shown that the traditional ways to improve the technology of blast furnace smelting to increase the productivity of the furnace and reduce the specific consumption of coke have largely exhausted their potential. At the same time, the creation of pelleted iron ore mono-raw material with the necessary indicators of the complex of metallurgical characteristics provides additional opportunities to reduce energy costs during blast furnace smelting. The article presents the results of the developed technology for the production of pelleted iron ore monoprocess for blast furnace smelting, which has at the same time a high content of iron and residual carbon. The authors developed new types of iron ore raw materials - fluxed local spikes from iron ore concentrates of different degrees of enrichment, local spikes with increased compared to agglomerate and pellets, iron content and local spikes with high residual carbon content. To obtain local heat, as a high-temperature part of the charge, metallized rolls, metallized ores or mixtures thereof were used. It is shown that the proposed mono-raw material can be produced in existing shops for the production of fired rolls, and can significantly improve the technical and economic performance of pig iron smelting. The components of the charge were mixed, after which the mixture was subjected to heat treatment with a gaseous coolant with oxidizing or weakly oxidizing potential. The specific productivity of the combustion unit and the specific costs of energy resources (heat and electricity) in the production of scuffed mono-raw materials remained almost identical for the production of other local heat. The results of the calculation of blast furnace smelting indices when using in its charge flaked fluxed mono-raw material with high iron and carbon content are presented. Calculations show that the use of this material in blast furnace production will significantly improve the technical and economic performance of pig iron smelting.