Improvement Yield to Increase Productivity for Model Light-2

Abstract

Production yields one of the processes that need to control in manufacturer process to know the productivity of production. Production yield without control will negatively impact productivity and increase production costs. There are several reasons why production yield may not achieve the target, affecting costs due to elements such as Man, Method, Material, Machine, and Environment. To identify and address these issues, we will use the 4M+1E tools and capability statistics to analyze the problems and determine their origins and solutions. According to the analysis results using 4M+1E from the data (summary yield production, log data from the end-tester, component datasheets, schematics, and bench tests), we can identify the root causes of the problems. By comparing the data readings using distribution charts, we can determine the results. Based on the study of the manufacturing process using 4M+1E and capability statistics, it was concluded that the decrease in yield performance was caused by the machine test limit specification. Additionally, changing the machine test limit increased yield productivity, achieving a 99.99% success rate. This change was identified through an ECN and monitored over two months of production.