Supporting Target Stage Identification of Quality Improvement Based on Causal Relationships among Characteristics in a Multi-Stage Manufacturing System

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  • 多段階生産システムでの工程間の因果関係に着目した品質改善対象工程の同定支援アプローチ
  • タダンカイ セイサン システム デ ノ コウテイ カン ノ インガ カンケイ ニ チャクモク シタ ヒンシツ カイゼン タイショウ コウテイ ノ ドウテイ シエン アプローチ

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Abstract

This paper aims to enhance the effectiveness of the process of improving manufacturing quality of a product in a multi-stage manufacturing system. The manufacturing quality to be improved is measured by the expected value of Taguchi's quadric quality loss function, and improving it is equivalent to reducing the variation of the final quality characteristic of the product, inspected at the end of the manufacturing system. The dispersion to be decreased is caused by many different noise sources throughout the multiple production stages, each of which carries out a certain manufacturing operation on the product and its result is assumed to be captured by an intermediate quality characteristic. Stabilizing the dispersion requires conducting robustness enhancement and/or noise source control at some of the production stages. This paper proposes a decision support approach to determine which means should be applied to which production stages. The proposed approach first estimates the cause and effect relationships among the multiple intermediate characteristics and the final one through engineering knowledge and observational data analysis. It then evaluates the expected variation reduction effect of each means at every production stage according to the causal relationships among the characteristics and their variance covariance matrix. Further, the resultant estimations are visualized in order to support the decision maker. An example semiconductor manufacturing system confirms the effectiveness of the proposed approach in directing quality improvement efforts.

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