METHOD OF A comprehensive QUANTITATIVE ASSESSMENT OF THE QUALITY OF HAZARDOUS PRODUCTION FACILITIES USING S-SHAPED CURVES
Problem Statement (Relevance). In a market economy, industrial enterprises with hazardous production facilities are often items of purchase and sale. In case of merger of enterprises, change of ownership and so on, a technical audit of the enterprise is carried out to determine its qualitative assessment of compliance with controlled parameters. In order to get a quantitative assessment of an industrial enterprise (hazardous production facility), in order to make an informed decision on the transaction in the future, it is necessary to develop a method for a comprehensive assessment of the quality of hazardous production facilities. Methods used. When developing a method for a comprehensive quantitative assessment of the quality of hazardous production facilities, a theoretical research method was used, including regression analysis methods combined with the least squares method. Novelty. The paper describes a proposed method of a comprehensive quantitative assessment of the quality of materials, products, structures of buildings and plants, technical devices, enterprises with hazardous production facilities, using S-shaped curves. The proposed method is based on a piecewise nonlinear dependence as an odd-degree polynomial, which allows us to quantitatively describe the processes occurring under the influence of factors with constant acceleration or deceleration. Result. The conducted research produced the main mathematical dependences of the comprehensive quantitative assessment method for the quality of materials, products, structures of buildings and plants, technical devices, enterprises with hazardous production facilities, using S-shaped curves. Practical Relevance. The proposed method will contribute to making a quantitative comprehensive assessment of the quality of materials, products, structures of buildings and plants, technical devices, enterprises with hazardous production facilities, using S-shaped curves, and its automation will reduce the time required to get results and make more informed management decisions.