The study aimed to determine the factors affecting the productivity of JIT #262 and to find ways on how to improve the line’s productivity by applying basic quality control tools to interpret and analyze the data; and determine the factors that affect the downtime of machines. The data were gathered and analyzed using some of the basic Quality Control Tools such as Check Sheets, Pareto Chart and Cause and Effect or Fishbone Diagram. The researcher conducted the study for the succeeding three months of the second term of school year 2010-2011. Based on the analysis of the Fishbone diagram, three factors such as the Man, Machine and Materials contributes to the low productivity of the line. The line graphs show that the current productivity of the line is relatively low based on the information gathered from August to October 2010. The analysis using the Pareto Chart has suggested that issues with the capping machine makes up 78% of the causes of the line’s low productivity.