Uses of p chart 1 To detect unexpected changes in the process; maybe special cause in the process 2 Monitor the process stability over time. 3 Compare process performance before and after significant process improvements.
Determine the subgroup size. The subgroup size must be large enough for the p chart; otherwise, control limits may not be accurate when estimated from the data. Compute p̅ = total number of defectives / total number of samples =Σnp/Σn Calculate upper control limit (UCL) and low control limit (LCL). If LCL is negative, then consider it as 0.
There are basically four types of control charts that exist for attribute data. np cha rt is for the number of defectives, and u chart is for the number of defects per unit, c chart is for the number of defects. Similarly, the p chart plots the proportion of defective items. Assumptions of Attribute charts: p chart
Plot the graph with proportion on the y-axis, lots on the x-axis: Draw centerline, UCL and LCL. Finally, interpret the data to determine whether the process is in control.
Why and When do you use a p Chart? p chart is one of the quality control charts is used to assess trends and patterns in counts of binary events (e.g., pass, fail) over time. p charts are used when the subgroups are not equal in size and compute control limits based on the binomial distribution.
The control chart is a graph used to study how process changes over time. A control chart always has a central line for average, an upper line for upper control limit, and lower line for the lower control limit. The control limits are ±3σ from the centerline.