Author: Ahmet Demir1
1Ishik University, Erbil, Iraq
Abstract: The requirements for production and learning process quality are different in various manufacturing, business and educational organizations. A new approach to fit these requirements and evaluate the closeness of realistic (actual) quality of production or learning processes (based on quality indicators of output or scores of examination tests) is proposed in the paper. The technique uses the strictly defined approximation procedures and allows users automatically evaluate of closeness of actual quality level when changing quality requirements. In case of significant difference between actual and pattern distributions a new approach (using neural network of ‘Generalized Regression Neural Network’ type) of determining the minimum values of the factors that will bring the actual distribution to the pattern one is proposed in the paper.
Keywords: Manufacturing Processes Quality, Business Processes Quality, Learning Process Quality, Percentile Function, Non-Parametric Approximation, Generalized Lambda Distribution, Generalized Regression Neural Network
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International Journal of Social Sciences & Educational Studies
ISSN 2409-1294 (Print), June 2014, Vol.1, No.4