happypydog / pci_dynamic_process

This project is my thesis about computing a more accurate process capability index under dynamic process with mean shift and variance change.

Dynamic Process with Mean Shift and Variance Change

Dynamic Model

Here is an example for computing detection power:

from dypro.dynamic import NormalMeanRChart

k1 = 1.2
k2 = 1.4
n = 5
chart = NormalMeanRChart(alpha=0.0027)
print(f"Detection Power = {chart.power(k1=k1, k2=k2, n=n):.4f}")

Create k2 table

from dypro.dynamic import NormalMeanVarChart, BrenthOptimizer
from dypro.create_csv import create_k2

chart = NormalMeanVarChart(alpha=0.0027)
optimizer = BrenthOptimizer(chart, power=0.5)
df = create_k2(
    optimizer=optimizer,
    k1_max=3,
    k1_num=0.1,
    n_max=30,
)
df.to_csv("xv_k2.csv", index=False, float_format="%g")