Considering that in recent decades there has been a dramatic increase in the amount of industrial disasters, among which accidents on chemical facilities retain a significant place, forecasting tasks and accident consequence assessment on hazardous chemical facilities are analyzed in this paper. The task of the emergency area size determination, as well as the determination of building destruction level, and the facility personnel and public expenses. The objective of the paper is to review the existing methodologies of forecasting and create a software system for accident consequence forecasting on hazardous chemical facilities. Methodology. The analysis of different methods of damage estimation, conducted by the author, allowed for the general scheme of damage from accidents on potentially hazardous facilities estimation to be made. Furthermore, the author analyzed potential objects of chemical pollution in the Saratov region. The paper demonstrates phases of theoretical development and implementation of software program for accident consequence assessment and modeling on hazardous chemical facilities. The developed software system has a connection with Google Maps GMap.NET, which allows to visualize the obtained assessment results. Results. The result of practical implementation of the application developed by the author is an accident model for a facility, using chlorine substances, the amount of pollution measurement and territory pollution determination. Conclusion. The paper shows that the implementation of the program system developed in the work of organizations will help the heads to minimize possible losses of working personnel, public and organization financial losses.. The author notes that the application developed is free from the main disadvantages of existing programs, more specifically, the absence of the possibility to estimate the physical damage caused by the accident.

The article examines the production of agricultural machinery in the Russian Federation for the period from 2000 to 2020. The aim of the work is to develop a forecast for the production of the main types of agricultural machinery in the Russian Federation in modern conditions. Within the framework of this, the following tasks are supposed to be solved: - study of the availability of agricultural machinery for domestic agricultural producers; - identification of trends in the development of agricultural machinery production; - construction of econometric models that describe the volume of agricultural machinery produced. The information base of the study was the data of the Federal State Statistics Service. The study used statistical methods, in particular Student’s t-test. The null hypothesis about the presence of a systemic shift in the time series was tested using a dummy variable. The index of production potential was also used in the work. Calculations showed the presence of a systemic shift in the series of the studied indicators. Econometric models were built for each series. For the production of tractors and loaders for agricultural purposes, the model will have a mixed look. Combine production is characterized by quadratic functions. Based on the models obtained, the production of the main types of agricultural machinery in the Russian Federation for the period 2021–2023 was predicted.

The article is devoted to the consideration of modern, innovative methods of promoting a new product on the market, which is a tool for strengthening the competitiveness of an enterprise, its efficiency in a dynamic economy. At the first step of the work, the authors consider and analyze practical methods and tools for creating and promoting new goods and services on the markets that meet modern consumer needs. The considered tools are aimed at expanding existing and developing new market niches. The article substantiates their ability to increase brand loyalty, while reducing possible risks. The next step of the work was the development of a model for promoting a new product in the company’s marketing system using the example of a specific enterprise, namely JSC NPP Almaz, the first stage of which was an analysis of the financial and economic activities of the enterprise in order to determine the possible costs of creating and promoting a new product. The authors draw attention to the possible risks when creating a new product and give recommendations on how to reduce them. Based on the analysis, the last stage of the work was the development of specific recommendations for modifying the tools for promoting a new product in the enterprise marketing system. The main base of the modification is the synthesis of traditional channels of product promotion, such as personal sales, participation in exhibitions, radio advertising with innovative Internet tools, among which are SEO optimization, SMM management, contextual advertising. The authors give arguments justifying the use of community marketing functionality in order to improve the quality of promotion of new products through social networking channels. As a result, an assessment is made of the possible economic effect of the proposed scheme for promoting a new product on the market and occupying new product niches.

The analysis of existing methods of pricing is carried out, the key advantages and disadvantages of each approach are identified, and conclusions are presented regarding the study of the problem of forming the cost of aluminum in the market. Trends in the development of the aluminum market in modern economic relations are analyzed using mathematical methods and directions of development, as well as possible solutions. A systematic approach to the analysis of the problems of pricing for aluminum in the world, taking into account the market conditions, is presented. The key approaches to pricing have been identified, which, together with the results of a comprehensive analysis, make it possible to determine the criteria for setting prices and assess the possibility of applying pricing methods in the global aluminum market.

This paper presents an algorithm for a fuzzy art appraisal model, which is a hierarchical model based on a base price and the following adjustment. In the first step of the model, we determine the list of linguistic variables, their number, types of terms and types of membership functions for each term. Then, we analyze the subject area, process expert information and build a knowledge base containing 50 predicate rules of inference. The analysis shows that the model reflects a 4.37% error in a porcelain figurine appraisal. The paper also outlines recommendations on the implementation of the developed algorithm for fuzzy art appraisal model using Fuzzy Logic Toolbox for Matlab package and explains package limitations such as the need for strong authentication of art pieces, identification of mass artworks and a limited range of artwork that can be appraised.