Basic Information
| BW Server | WBP |
|---|---|
| Application | QM - Quality Management |
| Query Name | BW - MiniCus_VB (Core workbook) |
| Query Technical Name | BW_WBK_QM_00 |
| Core/Specific Scope | Core |
| Specific Reason | |
| Provider Name | MVQM01 |
| Usage type | Direct execution from Analysis as interface for MiniTab |
| Expected users | Quality Manager, Quality Lab. Manager, Process Manager |
Purpose of this query
This report display detailed results by material, with usage decision or by shipments. Detailed analysis by characteristic / material is possible
Result can be transfer to Minitab tool for statistical purpose
Variables screen
On BW :
| Variable Name | Authorization Object | Description |
|---|---|---|
| Plant | Yes | |
| Actual goods issue date | No | Select a period range |
NB :
- Overall extraction time is long, count 10 minutes to extract 1 month
- The display is limited to 256 columns and 65000 rows
1/ Click on “Interface Minitab”Interface with MiniTab
2/ Complete the selection screen:
3/ Select :
- Product
- Materials
- Characteristic
- Choose a Chart and a Capability type (Delivery date or Batch)
4/ Click on “Minitab export”
5/ You can follow the progress of the extraction at the bottom of the screen
6/ MiniTab will open automatically 
. You'll get 5 graphs
Glossary of statistical data
I-MR Chart
- Individual Value = Control Chart
- Moving range = interval between 2 values
Capability indices
| Cp | Potential level of performance that your process obtain, if all special causes were eliminated. ( > 1,33) |
Pp | Actual capability of your process, or how your process is actually performing relative to the specification limits. (> 1,33) | |
| CPL | Measures how close the process mean is running to the lower specification limit. | |
| CPU | Measures how close the process mean is running to the upper specification limit. | |
| Cpk | Equals the lesser of CPU and CPL. |
Probability Plot
| Points | Estimated percentiles for corresponding probabilities of an ordered data set. |
Middle lines | The expected percentile from the distribution based on maximum likelihood parameter estimates. If the distribution is a good fit for the data, the points are close to the middle line. | |
Left lines and right lines | Formed by connecting the lower bounds of the confidence intervals for the percentiles. Similarly, the right line is formed by connecting the upper bounds of the confidence intervals for the percentiles. If a distribution is a good fit, the points fall within these bounds. | |
Anderson-Darling test statistics with corresponding p-values | Use to assess whether your data follow the specified distribution. |
FAQ
Waiting too long to extract data ?
Try to restrict data extraction at the first request by entering more information on the prompt.
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