AI-Enabled Statistical Quality Control Techniques for Achieving Uniformity in Automobile Gap Control

Abstract

To remain competitive, vendors in the production sector must meet the ever-evolving demands of their customers. Manufacturers can't accomplish this without a way to measure the items' quality. Analyzing the space between the back bumper and the exterior panel using quantitative methods for quality assurance is the focus of this investigation. For the purpose of trying to determine whether the production system is functioning properly, the study will employ Minitab for data evaluation and cause-and-effect analysis. Data will be collected and analyzed using quality assurance methods such as control graphs, hypothesis tests, analysis of variance, and Gage R&R. Results will be measured, and the underlying reasons will be identified. To optimize this procedure and fulfill consumer demand, such devices will be utilized.