Taguchi robust design as a way to optimize rubber glove process

In this paper, Taguchi concept of robust process design and the classical statistical experimental design methodology are integrated as a way of improving both the product quality and efficiency. Hence, it is a systematic method of optimizing a production process, and is concerned with productivity...

Full description

Bibliographic Details
Main Authors: Wahid, Zaharah, Ming, T.Tham, Ahmad, Kartini
Format: Conference or Workshop Item
Language:English
Published: 2019
Subjects:
Online Access:http://irep.iium.edu.my/77826/
http://irep.iium.edu.my/77826/
http://irep.iium.edu.my/77826/1/77826_Taguchi%20Robust%20Design%20as%20a%20Way%20to%20Optimize_complete.pdf
id iium-77826
recordtype eprints
spelling iium-778262020-01-09T02:07:44Z http://irep.iium.edu.my/77826/ Taguchi robust design as a way to optimize rubber glove process Wahid, Zaharah Ming, T.Tham Ahmad, Kartini T Technology (General) TS155 Production management In this paper, Taguchi concept of robust process design and the classical statistical experimental design methodology are integrated as a way of improving both the product quality and efficiency. Hence, it is a systematic method of optimizing a production process, and is concerned with productivity enhancement and cost effectiveness. . The aim of this study is to investigate the effect of the inputs on the outputs in the presence of a noise factor and also to choose the best level settings of the control factors that will maximize the mean and minimize the variation in the glove's quality characteristics at minimal cost. The quality characteristic of the rubber glove that was considered in this study was the tensile strength. Taguchi L16, the orthogonal array was employed to run the experiments. The analysis of variance (ANOVA) and the signal-to-noise (S/N) ratio were performed. The BG interaction was identified as the important mean effect. However, factor (B), the latex temperature was not affected by factor (G), oven temperature after coagulation dip when it was at high but enhanced the strength when both were set at low. Factor (A), curing temperature profile affected both the mean and the process variability. The effect of humidity appeared insignificant using ANOVA, but was significant in S/N ratio for the mean tensile strength. The preferred optimal setting were: A_2 B_1 C_1 D_1 F_2 H_1 G_1. 2019 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/77826/1/77826_Taguchi%20Robust%20Design%20as%20a%20Way%20to%20Optimize_complete.pdf Wahid, Zaharah and Ming, T.Tham and Ahmad, Kartini (2019) Taguchi robust design as a way to optimize rubber glove process. In: IIUM Engineering Congress 2019 (ICOM '19), 30-31 OCT 2019, PICC , PUTRA JAYA. (Unpublished) http://www.iium.edu.my/icom/programme.pdf
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
topic T Technology (General)
TS155 Production management
spellingShingle T Technology (General)
TS155 Production management
Wahid, Zaharah
Ming, T.Tham
Ahmad, Kartini
Taguchi robust design as a way to optimize rubber glove process
description In this paper, Taguchi concept of robust process design and the classical statistical experimental design methodology are integrated as a way of improving both the product quality and efficiency. Hence, it is a systematic method of optimizing a production process, and is concerned with productivity enhancement and cost effectiveness. . The aim of this study is to investigate the effect of the inputs on the outputs in the presence of a noise factor and also to choose the best level settings of the control factors that will maximize the mean and minimize the variation in the glove's quality characteristics at minimal cost. The quality characteristic of the rubber glove that was considered in this study was the tensile strength. Taguchi L16, the orthogonal array was employed to run the experiments. The analysis of variance (ANOVA) and the signal-to-noise (S/N) ratio were performed. The BG interaction was identified as the important mean effect. However, factor (B), the latex temperature was not affected by factor (G), oven temperature after coagulation dip when it was at high but enhanced the strength when both were set at low. Factor (A), curing temperature profile affected both the mean and the process variability. The effect of humidity appeared insignificant using ANOVA, but was significant in S/N ratio for the mean tensile strength. The preferred optimal setting were: A_2 B_1 C_1 D_1 F_2 H_1 G_1.
format Conference or Workshop Item
author Wahid, Zaharah
Ming, T.Tham
Ahmad, Kartini
author_facet Wahid, Zaharah
Ming, T.Tham
Ahmad, Kartini
author_sort Wahid, Zaharah
title Taguchi robust design as a way to optimize rubber glove process
title_short Taguchi robust design as a way to optimize rubber glove process
title_full Taguchi robust design as a way to optimize rubber glove process
title_fullStr Taguchi robust design as a way to optimize rubber glove process
title_full_unstemmed Taguchi robust design as a way to optimize rubber glove process
title_sort taguchi robust design as a way to optimize rubber glove process
publishDate 2019
url http://irep.iium.edu.my/77826/
http://irep.iium.edu.my/77826/
http://irep.iium.edu.my/77826/1/77826_Taguchi%20Robust%20Design%20as%20a%20Way%20to%20Optimize_complete.pdf
first_indexed 2023-09-18T21:49:43Z
last_indexed 2023-09-18T21:49:43Z
_version_ 1777413687857905664