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Application of the D5 discipline from the G8D method in solving quality management problems for NOK parts Cover

Application of the D5 discipline from the G8D method in solving quality management problems for NOK parts

Open Access
|Nov 2025

Abstract

The article discusses what is the G8D method, focusing on the fifth discipline of this method, D5, which involves the selection and verification of permanent corrective actions for root causes and escape points. The rationale for applying the G8D method and using the D5 discipline of this method was analyzed for the case of a NOK part, specifically a part with an undrilled hole. The algorithm that must be applied to correctly go through all the steps of the D5 discipline has been presented, in order to obtain verified corrective actions both for the point in the process where NOK parts are produced and for the control point where NOK was not detected. The practical application of this discipline for selected initial conditions (the transition through disciplines D0-D4), as well as the solution for the problem of producing defective products that protect the production system from further manufacturing of such parts has been presented. In construction literature, a similar approach is applied in the quality management of industrial prefabricates, where systematic defect analysis leads to the optimization of production processes. The applicability of the D5 discipline and the Poka Yoke method for securing the production station against the possibility of producing a NOK part was presented.

DOI: https://doi.org/10.17512/bozpe.2025.14.06 | Journal eISSN: 2544-963X | Journal ISSN: 2299-8535
Language: English
Published on: Nov 24, 2025
Published by: Technical University in Czestochowa
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2025 Joanna Cyganiuk, Piotr Kuryło, Ali Al-Zubiedy, Magdalena Mazur, published by Technical University in Czestochowa
This work is licensed under the Creative Commons Attribution-ShareAlike 4.0 License.

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