This study was conducted to experimentally examine and improve the color variation as a major quality characteristic in printing on sheet-fed offset press. The experimental work considered seven main factors and three interactions. The L16 Taguchi experimental orthogonal array was chosen for defining the experimental treatments as it offered the fitting of the factors and interactions with all necessary degrees of freedom. The color variation of the four basic colors (Cyan, Magenta, Yellow and Black) was measured for every treatment. With these four responses for every treatment, the optimization problem became a multi-criteria one. The technique performed on observation data is Grey relational analysis results to transform multi response into a single one and optimum factor settings are defined.
Roushdy, T., Hussein Hassan, M., & M. Zahran, I. (2021). Multi response optimization of quality characteristics in Offset printing industry using Taguchi approach and Grey relational analysis. Engineering Research Journal, 172(0), 295-307. doi: 10.21608/erj.2021.209805
MLA
Tamer Roushdy; Mohammed Hussein Hassan; Ismail M. Zahran. "Multi response optimization of quality characteristics in Offset printing industry using Taguchi approach and Grey relational analysis". Engineering Research Journal, 172, 0, 2021, 295-307. doi: 10.21608/erj.2021.209805
HARVARD
Roushdy, T., Hussein Hassan, M., M. Zahran, I. (2021). 'Multi response optimization of quality characteristics in Offset printing industry using Taguchi approach and Grey relational analysis', Engineering Research Journal, 172(0), pp. 295-307. doi: 10.21608/erj.2021.209805
VANCOUVER
Roushdy, T., Hussein Hassan, M., M. Zahran, I. Multi response optimization of quality characteristics in Offset printing industry using Taguchi approach and Grey relational analysis. Engineering Research Journal, 2021; 172(0): 295-307. doi: 10.21608/erj.2021.209805
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