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Activity Number:
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531
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Type:
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Contributed
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Date/Time:
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Wednesday, August 5, 2009 : 2:00 PM to 3:30 PM
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Sponsor:
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Section on Statistical Computing
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| Abstract - #303640 |
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Title:
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Six Sigma and Fuzzy Logic
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Author(s):
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Morteza Marzjarani*+
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Companies:
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Saginaw Valley State University
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Address:
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SE179-Computer Science Department, University Center, MI, 48710,
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Keywords:
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Simulation ; Probability
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Abstract:
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Probability approach is the tool to be used in determining the number of defective units in Six Sigma. However, the convention used is a scoring system that accounts for more variation in the process that one would normally find over a given period of time for data collection. It seems the scoring system works based on a soft computing approach. Since fuzzy logic is based of the soft computing theory, it seems appropriate to apply this theory to Six Sigma in determining the number of defective units. In this research work, I will apply fuzzy logic to six sigma, and compare to results to the current methods. The results would be easier to defend since fuzzy logic is built on a firm mathematical foundation.
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- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
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