The process that involves analyzing trends in measurement data to maintain product quality is known as?

Statistical Process Control (SPC) is the correct answer because it encompasses the systematic application of statistical methods to analyze the variability in manufacturing processes. By collecting and interpreting data over time, SPC enables organizations to identify trends and potential areas of quality issues before they result in defects or variations in product output. This proactive approach facilitates corrective actions that help maintain product quality, ensuring that the final output meets the required specifications.

In contrast, Quality Assurance refers broadly to the systematic processes put in place to ensure that quality standards are consistently met throughout production. While important, it does not specifically focus on the statistical analysis of measurement data.

Variance Analysis typically pertains to financial contexts where differences between planned and actual performance are examined, making it unrelated to the direct analysis of measurement data in manufacturing.

Quality Control Assessment, while relevant to maintaining product quality, generally involves measuring a product’s conformance to specifications rather than the statistical analysis and trend identification central to SPC.