A Study on Traceability Data-Mining

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Traceability data-mining is a technology to analyze which of the parts contributes to the product-level fault in the assembly processes such as automobile manufacturing, where more than ten-thousands of parts are assembled by multiple vendors in hierarchical manner. In this study, we introduced a virtual lot concept and developed the drill-down mining method which can search the suspicious parts selectively. After implementing the system, we compared our method with the existing one and showed that our method has a feasible search time even if data size is increased.