Xiao Han
Lawrence Technological University, Southfield, MI 48075, USA.
*Corresponding author: Xiao Han
Abstract
The automotive manufacturing process is characterized by dense procedures, complex collaboration, and highly coupled production cycles. Quality defects often arise from mismatches in standards between process nodes and the breakdown of control mechanisms. In the context of the shift from outcome-based quality inspection to process-based prevention in manufacturing quality, establishing a standardized quality system oriented towards defect prevention has become an important foundation for stabilizing process outputs. Based on the analysis of process flow structure, this study maps typical defect types to key process nodes, forming a quality path framework starting from risk identification, supported by institutional modules, and linked by data feedback. This framework incorporates operational norms, parameter control, and abnormal handling into a unified standard system. This path has both process constraint functions and self-correction capabilities, helping to narrow the quality fluctuation range, enhancing on-site execution consistency, and providing a reference solution for the engineering application of quality management models in complex manufacturing systems.
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Copyright
© 2026 by the author(s).
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives (CC BY-NC-ND) license, which permits non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited and is not modified or adapted.
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How to cite this paper
Research on Standardized Pathways for Automotive Manufacturing Process Quality Systems Oriented Toward Defect Prevention
How to cite this paper: Xiao Han. (2026) Research on Standardized Pathways for Automotive Manufacturing Process Quality Systems Oriented Toward Defect Prevention. Advances in Computer and Communication, 7(2), 77-80.
DOI: http://dx.doi.org/10.26855/acc.2026.06.003