Purpose
To provide analysis tools and metrics useful in manufacturing environments.
Go to the documentation.
Project Maturity
Plots and project are reasonably mature at this point. Calculations have been refined and are in-line with commonly accepted standards.
A major v3.0 update is coming to control charts and will be available in
manufacturing.alt_vis module. For instance, instead of using from manufacturing import x_mr_chart,
you would use from manufacturing.alt_vis import x_mr_chart. The new API should
allow for a greater degree of flexibility with recalculation points and the ability
to relabel the axes. Additionally, alternative axis labels will be able to be supplied.
These changes will eventually become "the way", but are to be considered experimental
until the v3.0 update.
Installation
To install from pypi:
pip install manufacturing
or, if you use uv:
uv add manufacturing
Building
This package uses uv to manage the workflow.
uv build
Testing
Tests will take a while to run - it is generating several hundred plots in the background.
uv run pytest
Usage
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_specification_limit=-2, upper_specification_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_chart(data)
There are X-MR charts, Xbar-R charts, and Xbar-S charts available as well. If you call the
control_chart() function, the appropriate sample size will be selected and data grouped as
the dataset requires. However, if you wish to call a specific type of control chart, use
x_mr_chartxbar_r_chartxbar_s_chartp_chart
Contributions
Contributions are welcome!
RoadMap
Items marked out were added most recently.
- ...
Add use github actions for deploymentTransition topoetryfor releasesAddI-MR Chart(seeexamples/imr_chart.py)AddXbar-R Chart(subgroups between 2 and 10)AddXbar-S Chart(subgroups of 11 or more)Update documentation to reflect recent API changesAddp chart- Add
np chart - Add
u chart - Add
c chart - Add automated testing (partially implemented)
Gallery
1 maintainer
Metadata
1 maintainer
Release files for manufacturing 1.7.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| manufacturing-1.7.1.tar.gz | 26.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| manufacturing-1.7.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 52.6 kB
Release files / manufacturing-1.7.1.tar.gz
| Download URL | manufacturing-1.7.1.tar.gz |
|---|---|
| Size | 26.6 kB |
| Tags | Source |
|
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Release files / manufacturing-1.7.1-py3-none-any.whl
| Download URL | manufacturing-1.7.1-py3-none-any.whl |
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| Tags | Python 3 |
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