Purpose. Determine the main quantitative indicators for the economic analysis of the reliability of the pellet mill with a fixed matrix. Methods. Methods of grouping, system analysis, synthesis, scientific generalizations and the method of argumentation were used. Results. It is indicated that the main quantitative indicators for the economic analysis of machine reliability are: the cost of measures to increase reliability, the economic effect of increasing reliability and the payback period of measures to increase reliability. Equations are given for determining the payback period of measures to increase reliability and operating costs with increasing reliability. The conditions of economic feasibility of work to increase the level of reliability are determined. Conclusions. The calculations show that the annual economic effect of increasing the reliability of the pelletizer is 175.82 thousand UAH/year. Reliability enhancement measures reduce operating costs by 18.7% and payback periods are 2.55 years. Keywords: livestock, pellet press, reliability, efficient use, economic feasibility.

The aim of the study was to identify and assess the spatial diversity of generating of animal and vegetal waste by entities from the agricultural sector in the EU countries along with the determination of the importance of this type of waste in total waste generated in individual countries. Statistical data used in the study were obtained from EUROSTAT. The research period was 2016, while the research area covered 25 EU countries. The data was subjected to quantitative analysis using descriptive and parametric statistics. It was found that animal and vegetal waste has the largest share in the structure of waste from the agricultural sector (accounting for 81.6% of all waste in the agricultural sector in the EU in 2016). It has been shown that generating of vegetal and animal waste in agricultural sector in the EU countries is characterized by spatial diversity. Most of this waste type was generated in Spain and the Netherlands. The dominant position of Spain resulted from significant share of this country in the EU volume of animal faeces, urine and manure generation. High position of the Netherlands was associated with a large share of vegetal waste. France, Germany, Slovakia and Sweden ranked next. Nearly 80% of all analyzed groups of waste came from these countries, which indicates a high degree of spatial concentration of the studied phenomenon. In this context, it can be stated that these countries are predestined to base their development on the concept of the bioeconomy. It is a challenge for the research and development sphere regarding development of innovative ways of managing agricultural vegetal and animal waste.

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