Supporting the Selection of Quality Tools Using Neural Networks
[ 1 ] Instytut Technologii Materiałów, Wydział Inżynierii Mechanicznej, Politechnika Poznańska | [ P ] employee
2023
chapter in monograph / paper
english
- quality tools
- manufacturing processes
- classification
- neural networks
EN Quality management tools are well-grounded in the management of enterprises regardless of an adopted quality management concept. A crucial problem to be solved is the provision of support for the selection of these tools in such a way as to choose the most useful one. The article presents an overview of traditional solutions for the selection of quality tools and their computer-aided choice. The analysis of the source literature showed a research gap regarding solutions for automatic support for the selection of quality tools. In order to resolve this problem, neural networks were used, specifically a feedforward multilayer network with backward propagation of errors. Data were prepared in the form of learning examples and many classification models based on the selected neural network were developed. As a result, the best model with the highest classification effectiveness was selected. Such a classification model can be placed in an expert system, which can then support a less experienced employee in the selection of quality tools (e.g. in the quality assurance department in an enterprise).
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