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Engineering and manufacturing industries

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Abstracts » Engineering and manufacturing industries

Smart project selection

Article Abstract:

Article discusses how the use of outlier techniques can help companies determine which quality improvement projects to do as part of their Six Sigma program. Accordingly, outliers are defined as "values in a data set with a high probability of being in a truly different group from the others."

Author: Conklin, Joseph D.
Publisher: American Society for Quality Control, Inc.
Publication Name: Quality Progress
Subject: Engineering and manufacturing industries
ISSN: 0033-524X
Year: 2003
Industrial project management, Project management, Outliers (Statistics)

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DOE and Six Sigma

Article Abstract:

Design of experiments (DOE) is a powerful tool for improving processes as part of a Six Sigma program. Since DOE is typically presented using continuous data, one can use approximate techniques to convert discrete data for use in DOE.

Author: Conklin, Joseph D.
Publisher: American Society for Quality Control, Inc.
Publication Name: Quality Progress
Subject: Engineering and manufacturing industries
ISSN: 0033-524X
Year: 2004
Management dynamics, Management, Total quality management, Company business management

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Assessing the effectiveness of controls under uncertainty

Article Abstract:

A comparative analysis of two quality control methods, systematic sampling method and logistic regression method, is presented.

Author: Conklin, Joseph D.
Publisher: American Society for Quality Control, Inc.
Publication Name: Quality Progress
Subject: Engineering and manufacturing industries
ISSN: 0033-524X
Year: 2007
United States, Quality Control Management, Quality control, Comparative analysis, Statistical sampling, Sampling (Statistics), Logistic regression

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Subjects list: Usage, Six Sigma (Quality control), Methods
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