Track: Quality Control and Quality Management

Abstract

This research analysed why there is in control and out of control when it comes to defects. Examines the data gathered and find out where the defects fell out of control. Minimization of defects is a must. From out of control, they need to make it in control. To understand if data should have to revise, they will use u chart to be able to know if the data gathered is in control or out of control. Using mini tab, it will give an accurate value of limits and a red point when the point is out of control. But if it doesn’t, it is in control and in some other ways we can calculate it with the given formulas to get the control limit. When it is out of control, points that exceed from its limit should be eliminated. When it is in control, it doesn’t need to be eliminated. The gathered data results to out of control. There’s one point that exceeds the limit. Revision of gathered data will make the defects in control.