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International Conference on Computer and Computer Intelligence (ICCCI 2011)

Yi Xie
Yi Xie
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ASME Press
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Quality control is of crucial importance in many production lines such as car manufacturing. It shall enable detection and rejection any defective product and prevent its delivery to the market. In order to prevent high losses due to defective products, some measures must be taken. In this paper a new approach is presented that enables an effective defect root cause analysis (DRCA) in production lines for quality improvements in manufacturing system and process-engineering departments. This method includes the development of a knowledge model, based on information obtained from experience, various manufacturing data source and defect related knowledge. Due to the...

Key Words
1 Introduction
2. Statement of the Problem
3 Baysian Network
4. DRCA in Production Lines
5. DRCA in Vehicle Surface in Paint Shop
6. Conclusion and Future Work
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