Methodology of solution of joint problems of modelling, identification and multi-criterion optimization in quality control for metallurgical processes

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Methodology of solution of joint problems of modelling, identification and multi-criterion optimization in quality control for metallurgical processes

Ludmiła Dymowa, Paweł Sewastjanow

Wydzia ł Inżynierii Mechanicznej i Informatyki Politechniki Częstochowskiej.

DOI:

https://doi.org/10.7494/cmms.2003.1.0033

Abstract:

The related simulation, identification and optimization problems in technological development and product quality control in the metallurgical mini-plant are considered. It is shown that the success in decision of such problems is highly dependent on the choused method for aggregating local quality criteria to the generalized one. Mathematical tools of fuzzy sets theory were used to describe the local criteria. The two stage approach is used to obtain the regression form models suitable for their using in solving multi-objective optimization problems in fuzzy setting. To illustrate the effectiveness of proposed approach, two examples of successful solved interconnect simulation and optimization problems in the real metallurgical mini-plant are presented.

Cite as:

Dymowa, L., Sewastjanow, P. (2003). Methodology of solution of joint problems of modelling, identification and multi-criterion optimization in quality control for metallurgical processes. Computer Methods in Materials Science, 3(1), 21 – 32. https://doi.org/10.7494/cmms.2003.1.0033

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