| Process observations | |
|---|---|
| Rational subgroup size | {{{subgroupsize}}} |
| Measurement type | {{{measurementtype}}} |
| Quality characteristic type | {{{qualitycharacteristictype}}} |
| Underlying distribution | {{{distribution}}} |
| Performance | |
| Process variation chart | |
| Not applicable | |
| Process mean chart | |
Infobox for control charts.
Usage
[edit]Copy-paste this empty template. Explanations of the parameters is given below
{{Infobox control chart
| name =
| proposer =
<!-----Process observations----->
| subgroupsize =
| measurementtype =
| qualitycharacteristictype =
| distribution =
<!---------Performance---------->
| sizeofshift =
| arl =
<!---Process variation chart--->
| varchart =
| varcenter =
| varupperlimit =
| varlowerlimit =
| varstatistic =
<!------Process mean chart------>
| meanchart =
| meancenter =
| meanlimits =
| meanupperlimit =
| meanlowerlimit =
| meanstatistic =
}}
Parameter descriptions
[edit]| Parameter | Required? | Default value | Conditional upon | Description |
|---|---|---|---|---|
| name | No | {{PAGENAME}} |
None | The name of the chart |
| proposer | No | None | None | The person who originally proposed the chart |
| subgroupsize | Yes | None | None | The size of the rational subgroup being monitored |
| measurementtype | Yes | None | None | What is being measured (quality characteristic directly, proportion, count, etc.) |
| qualitycharacteristictype | Yes | None | None | Attributes or variables data |
| distribution | Yes | None | None | Probability distribution of the quality characteristic |
| sizeofshift | No | None | None | Minimum size of the shift in the quality characteristic that the chart can detect |
| arl | No | None | None | Average run length |
| varchart | No | None | None | Image file depicting control chart for variability |
| varcenter | No | None | None | How to compute the variability control chart center line |
| varupperlimit | No | None | None | How to compute the variability control chart upper limit |
| varlowerlimit | No | None | None | How to compute the variability control chart lower limit |
| varstatistic | No | None | None | How to compute the individual points on the variability control chart |
| meanchart | No | None | None | Image file depicting control chart for the mean |
| meancenter | No | None | None | How to compute the mean control chart center line |
| meanlimits | No | None | None | How to compute the mean control chart limits (if limits are symmetric) |
| meanupperlimit | No | None | !{{meanlimits}} |
How to compute the mean control chart upper limit (if limits are asymmetric) |
| meanlowerlimit | No | None | !{{meanlimits}} |
How to compute the mean control chart lower limit (if limits are asymmetric) |
| meanstatistic | No | None | None | How to compute the individual points on the mean control chart |
Example
[edit]| np-chart | |
|---|---|
| Originally proposed by | Walter A. Shewhart |
| Process observations | |
| Rational subgroup size | n > 1 |
| Measurement type | Fraction nonconforming per unit |
| Quality characteristic type | Attributes data |
| Underlying distribution | Binomial distribution |
| Performance | |
| Size of shift to detect | ≥ 1.5σ |
| Average run length (ARL) | Unknown |
| Process variation chart | |
| Not applicable | |
| Process mean chart | |
 | |
| Center line | |
| Control limits | |
| Plotted statistic | |
{{Infobox control chart
| name = np-chart
| proposer = [[Walter A. Shewhart]]
| subgroupsize = n > 1
| measurementtype = Fraction nonconforming per unit
| qualitycharacteristictype = Attributes data
| distribution = [[Binomial distribution]]
| sizeofshift = ≥ 1.5σ
| arl = Unknown
| meanchart = Np control chart.svg
| meancenter = <math>n \bar p = \frac {\sum_{i=1}^m \sum_{j=1}^n \begin{cases} 1 & \mbox{if }x_{ij}\mbox{ defective} \\ 0 & \mbox{otherwise} \end{cases}}{m}</math>
| meanlimits = <math>n \bar p \pm 3\sqrt{n \bar p(1- \bar p)}</math>
| meanstatistic = <math>n \bar p_i = \sum_{j=1}^n \begin{cases} 1 & \mbox{if }x_{ij}\mbox{ defective} \\ 0 & \mbox{otherwise} \end{cases}</math>
}}