Document Type


Date of Award


Degree Name

Master of Science in Manufacturing Engineering - (M.S.)


Manufacturing Engineering Division

First Advisor

Cheickna Sylla

Second Advisor

R. S. Sodhi

Third Advisor

Rene Cordero


Cause and effect diagrams can be used as an effective tool for identifying the possible causes of a quality problem. Using this diagram one can go deep into the causes of the problem and take proper remedial action. Several graphical techniques like matrix diagrams, systematic diagrams, etc., can be combined with this tool to better represent the cause effect relationships. While a quantitative approach of this technique is feasible but limited, there are useful applications based on qualitative approach to this technique. The objective of this thesis is to propose a quantitative approach to the cause and effect diagrams especially for trouble shooting in quality control. We use Analysis of Means(ANOM), to further investigate the problem after its possible causes have been identified and to conduct a formal analysis of the main and interaction effects between different factors. Ease of interpretation and graphical presentation are considered as the major advantages of this technique. A case study is included to illustrate these concepts.

Included in

Manufacturing Commons



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