Quality Optimization Research Of Exterior Automotive Lamps’ Optical Performance Test

In present times, car has already become one of the important transportation choices when people go outside, exterior automotive lamps make a crucial role in the car for daily use. Optical performance test is the most important test in the quality management of exterior automotive lamps. Its purpose is to check whether the luminous intensity of the exterior automotive lamps to the requirements of national laws and regulations. So the exterior automotive lamps’optical performance test directly affects people’s daily safety of going outIn this paper, it selects Shanghai Koito automotive lamp Co., Ltd as example. It may happen to the deviation of the results in the process of optical performance testing. In view of this situation, first of all, it changes the requirements of customer requirements into the process of influencing fectors by using the method of Quality Function Deployment. And it knows that human and equipment are the most important factors, method is the second main factor, and environment and sample are secondary factors. Then it gets further analysis of factors influencing by potential process failure mode and effects analysis to find out management method. On the other side, it can control or even reduce the probability of these factors in the optical detection process. Last of all, it develops quality management system for optical detection process factors. On the other hand, it makes quality control of optical detection results by the method of statistical analysis. Finally, it can improve the exterior automotive lamps’optical performance test reliability and ensure the test quality control even optimization. Optical inspection and testing quality management system is formed by these two aspects. It can make quality management work continue to carry out effectively, to improve the exterior automotive lamps’optical performance test accuracy and reliability. Also it can make the quality of optical detection results achieve continuous control and continuous optimization.