2023

rozdział w monografii naukowej / referat

angielski

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).

133 - 145

10.1007/978-3-031-45021-1_10

https://link.springer.com/chapter/10.1007/978-3-031-45021-1_10

Advances in Production : Intelligent Systems in Production Engineering and Maintenance

4th International Conference on Intelligent Systems in Production Engineering and Maintenance ISPEM 2023, 13-15.09.2023, Wrocław, Polska

20