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Recently, single statistical tools analyses are used to analyze product reject. Bar chart, line chart and histogram are the most common tools used. However, simple statistical tool analysis could only analyze single point of view and obtain single information in each analysis. This study presents the application of Weibull Distribution model in analyzing characteristics parrtern of product reject data. Weibull Distribution is an advanced and flexible distribution model that commontly used for processing and interpreting life data. Therefore, the main objective of this study is to determine root cause of the reject product and level of production performance by providing statistical value and distribution plotting graph from the analysis using Weibull Distribution model. The analysis of data shows there are seven defect types occurred during the production of product. This study focus on a critical type of defect which contributes to the highest reject rate. The possible root cause will be determined from the result of the analysis.