Use of Taguchi robust design to optimize rubber glove process
In this paper, Taguchi concept of robust process design and the classical statistical experimental design methodology are integrated for improving both the product quality and efficiency. It is a systematic method of optimizing a production process, and is concerned with productivity enhancement and...
| Main Authors: | , , |
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| Format: | Proceeding Paper |
| Language: | English English |
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Institute of Physics Publishing
2020
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/82740/1/82740_Use%20of%20Taguchi%20Robust%20Design%20to%20Optimize%20Rubber%20Glove%20Process_ft.pdf http://irep.iium.edu.my/82740/2/82740_Use%20of%20Taguchi%20Robust%20Design%20to%20Optimize%20Rubber%20Glove%20Process_scopus.pdf |
| _version_ | 1825653478602571776 |
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| author | Wahid, Zaharah Ming, T. T. Ahmad, Kartini |
| author_facet | Wahid, Zaharah Ming, T. T. Ahmad, Kartini |
| author_sort | Wahid, Zaharah |
| collection | IIUM |
| description | In this paper, Taguchi concept of robust process design and the classical statistical experimental design methodology are integrated for improving both the product quality and efficiency. 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 is considered in this study was the tensile strength. Taguchi L16, the orthogonal array is 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 (H) 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. |
| first_indexed | 2024-03-06T00:50:24Z |
| format | Proceeding Paper |
| id | oai:generic.eprints.org:82740 |
| institution | International Islamic University Malaysia |
| language | English English |
| last_indexed | 2024-03-06T00:50:24Z |
| publishDate | 2020 |
| publisher | Institute of Physics Publishing |
| record_format | dspace |
| spelling | oai:generic.eprints.org:827402020-11-20T01:14:20Z http://irep.iium.edu.my/82740/ Use of Taguchi robust design to optimize rubber glove process Wahid, Zaharah Ming, T. T. Ahmad, Kartini Q Science (General) TS Manufactures TS1870 Rubber industry In this paper, Taguchi concept of robust process design and the classical statistical experimental design methodology are integrated for improving both the product quality and efficiency. 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 is considered in this study was the tensile strength. Taguchi L16, the orthogonal array is 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 (H) 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. Institute of Physics Publishing 2020-04-07 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/82740/1/82740_Use%20of%20Taguchi%20Robust%20Design%20to%20Optimize%20Rubber%20Glove%20Process_ft.pdf application/pdf en http://irep.iium.edu.my/82740/2/82740_Use%20of%20Taguchi%20Robust%20Design%20to%20Optimize%20Rubber%20Glove%20Process_scopus.pdf Wahid, Zaharah and Ming, T. T. and Ahmad, Kartini (2020) Use of Taguchi robust design to optimize rubber glove process. In: 5th International Conference on Mathematical Applications in Engineering 2019, 30th - 31st Oct. 2019, Putrajaya International Convention Centre Putrajaya, Malaysia. https://iopscience.iop.org/article/10.1088/1742-6596/1489/1/012034 10.1088/1742-6596/1489/1/012034 |
| spellingShingle | Q Science (General) TS Manufactures TS1870 Rubber industry Wahid, Zaharah Ming, T. T. Ahmad, Kartini Use of Taguchi robust design to optimize rubber glove process |
| title | Use of Taguchi robust design to optimize rubber glove process |
| title_full | Use of Taguchi robust design to optimize rubber glove process |
| title_fullStr | Use of Taguchi robust design to optimize rubber glove process |
| title_full_unstemmed | Use of Taguchi robust design to optimize rubber glove process |
| title_short | Use of Taguchi robust design to optimize rubber glove process |
| title_sort | use of taguchi robust design to optimize rubber glove process |
| topic | Q Science (General) TS Manufactures TS1870 Rubber industry |
| url | http://irep.iium.edu.my/82740/1/82740_Use%20of%20Taguchi%20Robust%20Design%20to%20Optimize%20Rubber%20Glove%20Process_ft.pdf http://irep.iium.edu.my/82740/2/82740_Use%20of%20Taguchi%20Robust%20Design%20to%20Optimize%20Rubber%20Glove%20Process_scopus.pdf |
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