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Analysis Study Research Paper | Mechanical Engineering | China | Volume 13 Issue 8, August 2024 | Rating: 5.9 / 10
Optimizing Continuous Improvement in Automotive Manufacturing through SPC and Q-DAS Integration
Chen Zhang
Abstract: Statistical Process Control (SPC) is extensively employed in quality control within the automotive manufacturing sector, with various control charts and theoretical research being practically implemented. However, the majority of automotive enterprises utilize SPC tools merely to comply with the demands of Advanced Product Quality Planning (APQP) and Production Part Approval Process (PPAP), while the exploration of integrating SPC tools into process quality control remains merely superficial. This article examines the elements influencing quality stability, including human factors, machinery, materials, methodologies, and environmental conditions, and employs Q-DAS statistical analysis software for practical application in process quality control, offering viable approaches for the continual enhancement of product quality in the future.
Keywords: Statistical Process Control (SPC); Q-DAS; Automotive Manufacturing; Continuous improvement
Edition: Volume 13 Issue 8, August 2024
Pages: 1255 - 1259