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Raise the efficiency of engineering changes using Data mining - B Electronics Case -  

Park, Seung-Hun (Dept. of Industrial Engineering, Inha University)
Lee, Seog-Hwan (Dept. of Industrial Engineering, Inha University)
Publication Information
Journal of the Korea Safety Management & Science / v.9, no.3, 2007 , pp. 135-142 More about this Journal
Abstract
The authors used association rules and patterns in sequential of data mining in order to raise the efficiency of engineering changes. The association rule can reduce the number of engineering changes since it can estimate the parts to be changed. The patterns in sequential can perform engineering changes effectively by estimating the parts to be changed from sequence estimation. According to this result, unnecessary engineering changes are eliminated and the number of engineering changes decrease. This method can be used for improving design quality and productivity in company managing engineering changes and related information.
Keywords
Data Mining; Engineering Change;
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