Abstract
The use of a multilevel model for evaluating the quality of instrument-making products assumes that the individual quality criteria are defined and quantified, since this overestimates the accuracy of obtaining the output result in the form of a numerical expression of the quality of the products produced; if we don’t determine individual quality criteria, our decision support system will give us incomplete information. The system in fact needs to contain information about a manufacturer, a supplier, and other quality information. The objective is to develop a method for the quantitative identification of individual quality criteria for instrument-making products for a two-level model of the product quality assessment. Results: the problem of assessing the quality level from the point of view of the decentralization is considered, the target quality functions and areas of definition for each level of optimization are proposed, a method for quantitative identification of individual quality criteria is developed, and the ways to improve the developed method are proposed.
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Pipiay, G., Chernenkaya, L., Mager, V. (2021). Fuzzy Formalization of Individual Quality Criteria for Quality Level Evaluation by Using Two-Level Optimization Model. In: Radionov, A.A., Gasiyarov, V.R. (eds) Proceedings of the 6th International Conference on Industrial Engineering (ICIE 2020). ICIE 2021. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-54817-9_65
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