Single array and response modeling of robust design experiments
Robust design experiments with single array were applied for the first time to optimization of rubber examination glove production in Malaysia. Seven controllable factors and one noise factor were combined in a single experimental setup at fixed levels also called a combined array or a single ar...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
International Association of Computer Science and Information Technology Press (IACSIT)
2012
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/32304/ http://irep.iium.edu.my/32304/1/Paris_conference_134-P10021.pdf |
| Summary: | Robust design experiments with single array
were applied for the first time to optimization of rubber
examination glove production in Malaysia. Seven controllable
factors and one noise factor were combined in a single
experimental setup at fixed levels also called a combined array or a single array. Two levels saturated fractional factorial designed was employed to elucidate the controllable factors that significantly affect the examination glove. The inclusion of the noise factor (relative humidity) allows a systematic study of the
effect of process variation on product and process quality that can be expected under processing condition. The modeling was performed on the mean and standard deviation separately for the quality characteristics of interest (pinholes). The standard deviation model is used to investigate the possibility of process variations induced by uncontrolled factors while
keeping the mean on target. In this paper, we demonstrate how
response modeling derived from robust design experiments
were employed to identify setting of the controllable factors so
that quality characteristics are least sensitive to variation of
noise factor |
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