This document summarizes a survey on quality control tools used in the auto parts industry. It discusses that quality control using statistical methods is important for reducing costs and improving quality in modern industries. The seven basic quality control tools are described, including cause-and-effect diagrams, check sheets, control charts, histograms, Pareto charts, scatter plots, and stratification. An example problem of door noise in trucks is presented and how quality tools like Ishikawa diagrams and histograms could help reduce the noise by 7%. The document concludes that quality control tools are effective for improving productivity and quality in automobile manufacturing.