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- W2034662885 abstract "This paper proposes an efficient approach for optimizing the multiple quality characteristics (QCHs) in manufacturing applications on the Taguchi method using the super efficiency technique in data envelopment analysis (DEA). Each experiment in Taguchi’s orthogonal array (OA) is treated as a decision making unit (DMU) with multiple QCHs set as inputs or outputs. DMU’s efficiency is measured then adopted as a performance measure to identify the combination of optimal factor levels. Three real case studies were employed for illustration in which the proposed approach provided the largest total anticipated improvements in multiple QCHs among other techniques such as principal component analysis (PCA) and DEA based ranking (DEAR) approach. Analysis of variance is finally employed to decide significant factor effects and to predict performance." @default.
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- W2034662885 date "2010-04-01" @default.
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- W2034662885 title "Super-Efficiency DEA Approach for Optimizing Multiple Quality Characteristics in Parameter Design" @default.
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- W2034662885 doi "https://doi.org/10.4018/jalr.2010040105" @default.
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