Quality Analysis and Improvement of Rear Axle Assembly Line of G Motor Company This paper analyzes and improves the product quality of rear axle assembly line of G Motor Company, finds the main factors influencing the quality through data analysis, and puts forward relevant measures. Firstly, this paper introduces the background and significance of the research, the quality management status of domestic and foreign enterprises, and the G Motor Company and its current quality management method system. Secondly, the corresponding improvement measures are put forward by using the Six Sigma method for the product quality of the rear axle shop assembly line. Finally, through the analysis and improvement of the quality problems of the rear axle assembly line, the production cost of the workshop is reduced, the unnecessary waste is eliminated, the product quality and the production efficiency are improved.

A Decision Tool for Quality System Improvement Any quality process has some weaknesses, and let nonconformities run through production process. Sometimes it reaches the final customer. Organizations give their operational managers the mission to improve the quality system in order to minimize the risk of delivering nonconform products to customers. In this work, a decision tool is developed and presented to determine how to improve an existing quality control process. Firstly, a probabilistic modeling of the propagation of nonconformities is proposed and used to evaluate the Average Outgoing Quality (AOQ). Then, an iterative method is presented, based on the AOQ estimation, aimed to determine the most profitable improvements to perform. The proposed method help managers to reach their global quality target by guiding the improvement process. The proposed tool determines which particular control operation should be improved for maximizing the impact on the Average Outgoing Quality.