Material selection of natural fibre using a grey relational analysis (GRA) approach
Numerous situations in daily life necessitate a decision. Several of them entail selecting the best option from a number of available options. In many such cases, no single solution is optimal for all of the performance characteristics. This study proposes using grey relational analysis (GRA), a mul...
| Main Authors: | , , , |
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| Format: | Article |
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College of Natural Resources, North Carolina State University
2022
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| Online Access: | http://psasir.upm.edu.my/id/eprint/102141/ |
| _version_ | 1848863725416611840 |
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| author | Maidin, N. A. Mohd Sapuan, S. Mohammad Taha, M. Mohamed Yusoff, M. Z. |
| author_facet | Maidin, N. A. Mohd Sapuan, S. Mohammad Taha, M. Mohamed Yusoff, M. Z. |
| author_sort | Maidin, N. A. |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Numerous situations in daily life necessitate a decision. Several of them entail selecting the best option from a number of available options. In many such cases, no single solution is optimal for all of the performance characteristics. This study proposes using grey relational analysis (GRA), a multiple criteria decision making (MCDM) method, to solve this problem. Material selection is vital in designing and developing products, especially for composites materials requiring special attention. The substitution of conventional materials with natural fibres as base material is commonly practised due to high material consumption in mass-producing plastic components that could harm the environment. Therefore, in this work, natural fibres were chosen as composite reinforcement in the design of cyclist helmets. This approach was used to evaluate the right natural fibre and is able to fulfill the needs of consumers and the environment. From the results, the GRA method was utilised and revealed that pineapple was the best top ranking natural fibre with a grade of 0.5687, followed closely by bamboo with a grade of 0.5678, and abaca with a grade of 0.4966. Error analysis was performed to increase the confidence level of the results obtained. |
| first_indexed | 2025-11-15T13:37:29Z |
| format | Article |
| id | upm-102141 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-15T13:37:29Z |
| publishDate | 2022 |
| publisher | College of Natural Resources, North Carolina State University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-1021412023-07-12T01:49:49Z http://psasir.upm.edu.my/id/eprint/102141/ Material selection of natural fibre using a grey relational analysis (GRA) approach Maidin, N. A. Mohd Sapuan, S. Mohammad Taha, M. Mohamed Yusoff, M. Z. Numerous situations in daily life necessitate a decision. Several of them entail selecting the best option from a number of available options. In many such cases, no single solution is optimal for all of the performance characteristics. This study proposes using grey relational analysis (GRA), a multiple criteria decision making (MCDM) method, to solve this problem. Material selection is vital in designing and developing products, especially for composites materials requiring special attention. The substitution of conventional materials with natural fibres as base material is commonly practised due to high material consumption in mass-producing plastic components that could harm the environment. Therefore, in this work, natural fibres were chosen as composite reinforcement in the design of cyclist helmets. This approach was used to evaluate the right natural fibre and is able to fulfill the needs of consumers and the environment. From the results, the GRA method was utilised and revealed that pineapple was the best top ranking natural fibre with a grade of 0.5687, followed closely by bamboo with a grade of 0.5678, and abaca with a grade of 0.4966. Error analysis was performed to increase the confidence level of the results obtained. College of Natural Resources, North Carolina State University 2022 Article PeerReviewed Maidin, N. A. and Mohd Sapuan, S. and Mohammad Taha, M. and Mohamed Yusoff, M. Z. (2022) Material selection of natural fibre using a grey relational analysis (GRA) approach. BioResources, 17 (1). 109 - 131. ISSN 0838-5785; ESSN: 1930-2126 https://bioresources.cnr.ncsu.edu/resources/material-selection-of-natural-fibre-using-a-grey-relational-analysis-gra-approach/ 0.15376/biores.17.1.109-131 |
| spellingShingle | Maidin, N. A. Mohd Sapuan, S. Mohammad Taha, M. Mohamed Yusoff, M. Z. Material selection of natural fibre using a grey relational analysis (GRA) approach |
| title | Material selection of natural fibre using a grey relational analysis (GRA) approach |
| title_full | Material selection of natural fibre using a grey relational analysis (GRA) approach |
| title_fullStr | Material selection of natural fibre using a grey relational analysis (GRA) approach |
| title_full_unstemmed | Material selection of natural fibre using a grey relational analysis (GRA) approach |
| title_short | Material selection of natural fibre using a grey relational analysis (GRA) approach |
| title_sort | material selection of natural fibre using a grey relational analysis (gra) approach |
| url | http://psasir.upm.edu.my/id/eprint/102141/ http://psasir.upm.edu.my/id/eprint/102141/ http://psasir.upm.edu.my/id/eprint/102141/ |