MODELING OF MANUFACTURING OF MACHINE-BUILDING PRODUCTS ON THE BASIS OF DETERMINATION OF THE ORGANIZATIONAL AND TECHNOLOGICAL LEVEL OF HIGH-TECH-PRODUCTION
Authors:   Odesa Polytechnic State University, Zakharchenko Vitaliy , Merculov Micola ,   Odesa Polytechnic State University, Guralska Viktoriia ,   Odesa Polytechnic State University
Published: March 2022

The methodical approach for an estimation of constructive and technological complexity of manufacturing of high-tech production is offered; as well as methods for determining the factors of organizational and technological state of high-tech production system, which have the greatest impact on the complexity of industrial products, which is based on the use of expert methods to form, analyze and evaluate the formed population. Domestic industry is currently undergoing structural changes, caused by both the changing fluctuating market situation and military aggression against our country. The main problem faced by industrial enterprises is low production efficiency. Ensuring the competitiveness of products produced by high-tech enterprises is the only way to survive and consolidate in the market, which requires accurate assessment and reduction of production costs while achieving the required consumer qualities. In accordance with the results of the analysis, on the example of cable products, the requirements were formulated to which a promising method of technological regulation should meet: ensuring the required level of accuracy in accordance with the requirements of a specific production task with a minimum of resource costs; the use of a universal approach in the standardization of various technological conversions, providing a logical relationship between them; taking into account the organizational and technological level of high-tech production in order to adapt the method in the conditions of a specific production system; assessment of the labor intensity of manufacturing high-tech products in the absence of developed technological documentation. As a result, it seems possible at the stage of making a decision on launching into production to predict the labor intensity of manufacturing a specific high-tech product. The scope of the obtained model can be extended to the stages of adaptation, restoration of reconfigurable high-performance systems in industry. The use of such an approach to assessing the constructive and technological complexity in real production conditions revealed the fact that in the manufacture of the same product with a certain and constant constructive and technological complexity in the conditions of various high-tech systems, the labor intensity of the manufacture turns out to be different. The analysis of the results obtained made it possible to make the assumption that the variation in the values of the labor intensity of the manufacture of the product is explained by the differentiation of the structure of the organizational and technological state of high-tech production. The following tasks can be considered the most relevant at the moment: determining the labor intensity of manufacturing high-tech products at the stage of forming a package of an enterprise's order in order to calculate its cost and determine profitability; assessment of labor intensity at the stage of putting high-tech products into production on the basis of design documentation in the absence of developed technological documentation. The task of predicting the labor intensity of manufacturing high-tech products in the proposed method is solved at the following stages: analysis of the range of high-tech production and the formation of a certain set of promising products; determination of the constructive technological complexity of manufacturing products included in a certain set; construction of a regression relationship between the structural and technological complexity and labor intensity of manufacturing products with the analysis of the resulting relationship; determination of the constructive and technological complexity of high-tech products and the calculation of the labor intensity of its manufacture using the obtained regression equation.