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Solving Multiresponse Optimization Problems Using Quality Function–Based Robust Design

Summary: [This abstract is based on the authors' abstract.] Many organizations today implement Design for Six Sigma (DFSS) to address design problems. Quality function deployment (QFD) is a Six Sigma tool that proactively translates customers’ needs into technical design requirements. As yet, few researchers have investigated how QDF may be used to solve multiresponse optimization problems. A new approach is proposed that combines aspects of QFD with traditional robust design methodology to address this issue. The methodology is demonstrated through an illustrated example and compared to the traditional robust design approach.

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  • Topics: Six Sigma
  • Keywords: Multiresponse experiment, Quality function deployment (QFD), Robust design, Process optimization, Problem solving, Design for six sigma (DFSS)
  • Author: Kovach, Jami; Cho, Byung Rae
  • Journal: Quality Engineering