<p><strong>Purpose:</strong> When choosing a supplier, many companies give priority to the lowest cost of products. Problems arise when the consumer wants to buy products with several better quality characteristics, but the products have only one of them. The aim is to establish a link between the quality characteristics of the product and its market value in terms of consumer benefits.</p><p><strong>Methodology/Approach:</strong> The proposed model is based on determining the importance of criteria that determine the indicators of quality, reliability, characteristics of products and their comparison with the market price at which these products are supplied to the consumer. The model is built on the basis of statistical processing of the data received from consumers about preferences at the choice of production.</p><p><strong>Findings:</strong> The method of determining the optimal supplier based on the cost and quality indicators of the product. Some indicators of the quality of products and their ranking by significance for the consumer are given. It gives the examples of calculation methods for univariate and two-factor analysis. It shows the ways of diagramming the determination of values of factors of production.</p><p><strong>Research Limitation/implication:</strong> The model is relevant only at close market value of production for the consumer.</p><strong>Originality/Value of paper:</strong> The methodology of criteria-based evaluation of the quality indicators of the supplied products or services allows making a selection of a products supplier on the basis of quality characteristics of the supplied products.
Abstract.Surface is considered at the nanoscale. It is established that there is no direct dependence of surface nanoroughness on roughness obtained when machining. The grain sizes and surface nanoroughness of materials are analyzed in detail. The presence of a functional correlation between granularity and nanoroughness is established. Equations between the nanoroughness pitch along the midline and the granularity of the material have been obtained as a result of regression analysis.
There are presented mechanisms of transport and chemical engineering corrosion. Basic problems of a trunk gas and oil pipeline complex are presented. A general theoretical dependence for the definition of surface corrosion-resistance is shown. Methods for corrosion and corrosion wear decrease are considered.
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