Improving Six Sigma Project results through Binary Logistic Regression - a case study analysis Ford Motor Company

Format:

Conference/Event

Author/Creator:

Utiyama, Marcello A. M., author.

Conference Name:

SAE Brasil 2007 Congress and Exhibit (2007-11-28 : Sao Paulo, Brazil)

Language:

English

Physical Description:

1 online resource

Place of Publication:

Warrendale, PA SAE International 2007

Summary:

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

Notes:

Vendor supplied data

Publisher Number:

2007-01-2646

Access Restriction:

Restricted for use by site license