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- W2783151883 abstract "In 2015, our team proposed a new development methodology, which we named the Causality Search T-Method (CS-T Method). This method makes it possible to solve the intrinsic limitation of target characteristics-based Parameter Design. Specifically, target characteristics-based Parameter Design is in essence a black-box method, which makes it difficult to obtain information on the mechanisms of quality improvement. The first aim of the CS-T Method is to determine the causal relationships between the target characteristics and multiple candidate “Effective-Explanation Factors” (EEF) such as physical properties, sensing data. The second aim is to improve the efficiency. Through a case study, our team demonstrated that it is possible to determine the causal relationships with significantly fewer experiments. We propose an extension of the CS-T Method, one which incorporates Graphical Modeling (GM), which we have named the CS-TG Method. Unlike conventional GM, which performs the analysis on the entire pool of candidate EEFs, CS-TG method allows the GM analysis to focus on the limited set of factors that were identified by the original CS-T as having a causal relationship with the target characteristics. In doing so, the new method is able to establish the causal relationships between each of the individual EEFs with fewer experiments." @default.
- W2783151883 created "2018-01-26" @default.
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- W2783151883 creator A5083507804 @default.
- W2783151883 date "2017-11-03" @default.
- W2783151883 modified "2023-09-23" @default.
- W2783151883 title "A Proposal of a New Product Development Methodology: The CS-TG Method “Causality Search T-Method With Graphical Modeling”" @default.
- W2783151883 doi "https://doi.org/10.1115/imece2017-72555" @default.
- W2783151883 hasPublicationYear "2017" @default.
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