C Chart¶
This node outputs SPC C Chart and performs control tests.
Type¶
SPC-Chart
Class¶
fire.nodes.graph.NodeSpcCChart
Fields¶
Name |
Title |
Description |
|---|---|---|
title |
Title |
|
titleColor |
Title Color |
|
description |
Description |
|
descriptionColor |
Description Color |
|
attribute |
Attribute Columns |
Attribute column names |
subgroup |
Subgroup Column |
Subgroup column name |
identifier |
Identifier Columns |
Identifier column name |
test1 |
point beyond the control limits |
|
test2 |
k or more consecutive points are one side of the centerline |
|
test3 |
k or more consecutive points are increasing or decreasing |
|
test4 |
k consecutive points alternate up or down |
Details¶
The C chart in Statistical Process Control (SPC) is used to monitor the count of defects in a process when the sample size remains constant. It tracks the total number of defects or non-conformities in each sample, making it suitable for processes where multiple defects can occur in a single unit, such as manufacturing or inspection processes. The C chart helps identify trends, shifts, or out-of-control points by assessing the variation in defect counts. By ensuring that defect counts stay within control limits, the C chart helps maintain process stability and supports consistent quality management.