Advancing Multi-Level Production Defect Detection Using Quality Tools and Maintenance Optimisation
This study aims to advance the detection of production defects at three levels - part, material, and machine - through the application of a few quality tools with a view to proposing solutions. The research focuses on identifying and addressing the most prevalent and critical anomalies observed in the workshop. Despite existing quality control measures, production often falls short of meeting customer specifications due to machine malfunctions, inadequate operator vigilance, and inefficiencies in the maintenance processes. These challenges underscore the need for a systematic approach to visualise and address production system issues. By applying targeted quality tools, this paper seeks to optimize maintenance strategies and improve overall production performance, contributing to enhanced operational efficiency and product quality.
© The Author(s) 2024. Published by RITHA Publishing. This article is distributed under the terms of the license CC-BY 4.0., which permits any further distribution in any medium, provided the original work is properly cited maintaining attribution to the author(s) and the title of the work, journal citation and URL DOI.
Fadwa, E. (2024). Advancing multi-level production defect detection using quality tools and maintenance optimisation. Journal of Research, Innovation and Technologies, Volume III, 2(6), 129-139. https://doi.org/10.57017/jorit.v3.2(6).04
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