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...

Full description

Bibliographic Details
Main Authors: Wahid, Zaharah, Ming, T. Tham
Format: Article
Language:English
Published: International Association of Computer Science and Information Technology Press (IACSIT) 2012
Subjects:
Online Access:http://irep.iium.edu.my/32304/
http://irep.iium.edu.my/32304/1/Paris_conference_134-P10021.pdf
id iium-32304
recordtype eprints
spelling iium-323042014-01-21T07:30:11Z http://irep.iium.edu.my/32304/ Single array and response modeling of robust design experiments Wahid, Zaharah Ming, T. Tham QA Mathematics QC Physics 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 International Association of Computer Science and Information Technology Press (IACSIT) 2012-09 Article PeerReviewed application/pdf en http://irep.iium.edu.my/32304/1/Paris_conference_134-P10021.pdf Wahid, Zaharah and Ming, T. Tham (2012) Single array and response modeling of robust design experiments. International Journal of Applied Physics and Mathematics, 2 (5). pp. 359-361. ISSN 2010-362X
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
topic QA Mathematics
QC Physics
spellingShingle QA Mathematics
QC Physics
Wahid, Zaharah
Ming, T. Tham
Single array and response modeling of robust design experiments
description 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
format Article
author Wahid, Zaharah
Ming, T. Tham
author_facet Wahid, Zaharah
Ming, T. Tham
author_sort Wahid, Zaharah
title Single array and response modeling of robust design experiments
title_short Single array and response modeling of robust design experiments
title_full Single array and response modeling of robust design experiments
title_fullStr Single array and response modeling of robust design experiments
title_full_unstemmed Single array and response modeling of robust design experiments
title_sort single array and response modeling of robust design experiments
publisher International Association of Computer Science and Information Technology Press (IACSIT)
publishDate 2012
url http://irep.iium.edu.my/32304/
http://irep.iium.edu.my/32304/1/Paris_conference_134-P10021.pdf
first_indexed 2023-09-18T20:46:38Z
last_indexed 2023-09-18T20:46:38Z
_version_ 1777409718934831104