The article is devoted to the research of the acrylic artificial stone properties, which has wide application in the production of furniture, in particular for the bathroom (sinks, baths), kitchens (sinks, countertops, bar counters, table tops for dining tables) and decorative interior elements (window sills, wall panels). In the Ukrainian market there are products of well-known world producers of acrylic artificial stone TM "Corian" (DuPont, USA), "Polystone" (China), LG Chem (South Korea), "Staron" and "Tempest" (Samsung Cheil Industries Inc , South Korea), HI-MACS (LG, South Korea), GetaCore (Westag & Getalit AG, Germany), and unknown trademarks, whose quality of goods is doubtful for the consumer. Therefore, it became necessary to study the acrylic artificial stone properties of those producers whose products are most in demand in the domestic market. For the research, samples of five manufacturers of acrylic artificial stone TM Tristone (South Korea) Bitto Dongguan (China), Corian (USA), Polystone (China) and LG Ni-macs (South Korea) were selected. These samples of acrylic artificial stone were tested by standard methods for the following parameters: density, water absorption, compressive strength, flexural strength, impact resistance, wear resistance, Mohs hardness, chemical resistance and compared with standards. Based on the research results, samples of acrylic artificial stone have been determined that do not meet the requirements of regulatory documentation, and recommendations have been made on the use of the investigated materials, taking into account their intended use, providing high performance, reliability and durability

This article considers the possibility of studying the main types of products of chemical production (ethylene, benzene, styrene and ethylene polymers in primary forms, styrene in primary forms, vinyl chloride in primary forms and propylene in primary forms, as well as methanol-synthetic poison, methanol-rectification technical forest chemical, methanol raw in terms of rectification) in thousand tons. The purpose of this work was to analyze the volume of the main types of chemical products. The objectives of the study were to determine the volume of production of chemical production, calculation of the seasonality index and forecasting the volume of the main types of products of chemical production. The results showed that the largest decrease in production was observed in 2012 for ethylene and benzene (93.2% and 97.2%), compared to 2011, respectively. For methanol production, on the contrary, in 2012, compared to 2011, there was an increase in production volumes (90.7%). The obtained calculations of the seasonality index showed that the lowest volume of production of benzene, methanol, polyethylene, polystyrene and ethylene was observed in January, styrene, polyvinyl chloride, polypropylene-in October, and the highest in August, except for the production of polyvinyl chloride. The forecast of volumes of production of the main types of production of chemicals for the period: january – december 2020 is constructed. The results obtained indicate that there will be an increase in production volumes.

This article is devoted to the study of changes in the main indicators of the level of the unemployed population. The dynamics of the officially registered number of unemployed aged 15–72 years is analyzed. The relevance of this work was that the problem of unemployment is a very important problem in our society. Without solving the problem of unemployment, it is impossible to find solutions to improve not only the economic, but also the moral, moral and spiritual situation in Russia. The purpose of this work was to build a forecast model for the development of the number of unemployed in the Perm Region. It is shown that there was a good correlation between the wages of employees, the number of the population, the growth of high-performance jobs, the cost of a fixed set of consumer goods and services, the age composition of the population older than the able-bodied, the migration growth of the population and the growth rate of the number of unemployed in the Perm Region. The analysis made it possible to construct a linear multivariate model and a model in the state space. It is shown that these models cannot be used to predict the number of unemployed, due to poor predictive properties (the sum of the squares of deviations for a linear multivariate model in this case is 0.295, for a model in the state space – 2.354). At the same time, a regression-differential model of the change in the number of unemployed aged 15–72 years in the Perm Region was built. The obtained data showed that for this model, the sum of the squared deviations is 0.091. This suggests that the regression-differential model best describes the number of unemployed people aged 15–72 years in the Perm Region. Based on the obtained model, a forecast of the distribution of the number of unemployed in the region under consideration for 2021 and 2022 was made. The results obtained indicate that there will be a positive trend in reducing the number of unemployed. Over 7 years, it will decrease by 21.8 %.

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