Improving Six Sigma Project results through Binary Logistic Regression - a case study analysis 2007-01-2646
Binary Logistic Regression is a powerful tool to apply in Six Sigma projects, when the response is characterized as an attribute. This paper has the purpose to present a case study based on Binary Logistic Regression application in a Six Sigma DMAIC project, where the output of the process could only be measured as “component assembled Ok or component assembled Not Ok” - a binary response.
Citation: Utiyama, M., "Improving Six Sigma Project results through Binary Logistic Regression - a case study analysis," SAE Technical Paper 2007-01-2646, 2007, https://doi.org/10.4271/2007-01-2646. Download Citation
Author(s):
Marcello A. M. Utiyama
Affiliated:
Ford Motor Company
Pages: 8
Event:
SAE Brasil 2007 Congress and Exhibit
ISSN:
0148-7191
e-ISSN:
2688-3627
Related Topics:
Six Sigma
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