Statistical Quality Control and Process Analysis on the Production of Trash Bags Going Through Extrusion Process
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Abstract
This study evaluated the extrusion process of trash bags of a plastic manufacturer in Marilao, Bulacan. According to the data that the company has provided, the process produced an average of 3,400 kilograms of scraps every month. The objective of the study is to determine the causes of this significant waste and recommend ways to mitigate or eliminate them. The study analyzes the process using descriptive statistics. Using Laney P’-charts, a type of statistical diagnostic tool that tries to see patterns in a data set, the proponents investigated seven months of trash bag production. The charts showed that there are days when a significant amount of scraps goes way beyond of what to be expected. Upon further examination of the events that happened on those days, it was found out that the changing of the pellets’ color caused the wastes. The charts also showed other noticeable patterns, and causes were found related to these arrangements like damp pellets, wrong machine configurations and more. The results showed that statistics are a powerful tool that can help with quality control and find the causes of defects in the production. Recommendations were made with proper planning of when to put on certain colors of plastic pellets as the main suggestion.
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