Purpose
To provide analysis tools and metrics useful in manufacturing environments.
I am slowly generating the documentation and, as that is maturing, I will begin to move information
from this readme.md into that location. If you don't find something here, head over to the
documentation.
Project Maturity
Every effort is being made to ensure that the results are accurate, but the user is ultimately responsible for any resulting analysis.
The API should not be considered stable until v1.0 or greater. Until then, breaking changes may be released as different API options are explored.
During the v0.X.X versioning, I am using the package in my own analyses in order to find any bugs. Once
I am reasonably satisfied that the package is feature complete, usable, and bug-free, I will break out
the v1.X.X releases.
Usage
Visualizations with Jupyter Notebooks
Visualizations work approximately as expected within a jupyter notebook.
data = np.random.normal(0, 1, size=30) # generate some data
manufacturing.ppk_plot(data, lower_control_limit=-2, upper_control_limit=2)
There is a sample jupyter notebook in the examples directory.
Cpk Visualization
The most useful feature of the manufacturing package is the visualization of Cpk.
As hinted previously, the ppk_plot() function is the primary method for display of
Cpk visual information. First, get your data into a list, numpy.array, or
pandas.Series; then supply that data, along with the lower_control_limit and
upper_control_limit into the ppk_plot() function.
manufacturing.ppk_plot(data, lower_control_limit=-2, upper_control_limit=2)
In this example, it appears that the manufacturing processes are not up to the task of making consistent product within the specified limits.
Zone Control Visualization
Another useful feature is the zone control visualization.
manufacturing.control_plot(data, lower_control_limit=-7.0, upper_control_limit=7.0)
Features Map
Analysis
Ppk analysisPpk plots/histogramsCpk analysis/plot/histogram by subgroupIn-control/out-of-control analysis (do Ppk and Cpk converge to approximately the same value)Control chart plot(see Control Chart Rules)Beyond limits violations highlighted(one or more points beyond the control limits)Zone A violations highlighted(2 out of 3 consecutive points in zone A or beyond)Zone B violations highlighted(4 out of 5 consecutive points in zone B or beyond)Zone C violations highlighted(7 or more consecutive points on one side of the average - in zone C or beyond)Trend violations highlighted(7 consecutive points trending up or down)Mixture violations highlighted(8 consecutive points with none in zone C)Stratification violations highlighted(15 consecutive points in zone C)Over-control violations highlighted(14 consecutive points alternating up and down)
- Gage R&R analysis
Usability
Import from CSVImport from MS Excel- Create documentation using sphinx
Generate reports
Gallery
Currently, no distinction is made between Ppk and Cpk, so the entire chart shows the Cpk.
Some of the data for the zone control chard was manipulated in order to display the results. Note that, if a phenomenon is not present within the data, then it will not be plotted at all.
1 maintainer
Metadata
1 maintainer
Release files for manufacturing 0.9.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| manufacturing-0.9.5-py3-none-any.whl | Python 3 | none | any | Details |
Release files / manufacturing-0.9.5-py3-none-any.whl
| Download URL | manufacturing-0.9.5-py3-none-any.whl |
|---|---|
| Size | 12.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
25f98209b5c5c6fa58f9575dfe9b5cf41f598e3e749425574cb8c82b340355c3
|
|
BLAKE2b-256 checksum How to use checksums |
fde4f70576b033af2dbc2874d90469349c35b1f1fb81cac809a4e95dd7d4f7dc
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.42.1 CPython/3.7.3
|
