Application of fuzzy analytic network process in selection of bio-composite filament for fused deposition modeling process

Hazliza Aida Che Hamid, . and Mastura Mohammad Taha, . and Syahibudil Ikhwan Abdul Kudus, . and Noryani Muhammad, . and Mohd Adrinata Shaharuzaman, . and Loh, Yueh Feng and Ahmad Ilyas Rushdan, . (2024) Application of fuzzy analytic network process in selection of bio-composite filament for fused deposition modeling process. Pertanika Journal of Science & Technology (Malaysia), 32 (4). 1721 -1751. ISSN 2231-8526

The concurrent engineering approach necessitates integrating material selection into the product design to effectively align with client specifications. Premature product failure, leading to substantial losses, frequently arises as a consequence of inadequate material selection due to conflicting demands. The Multi-Criteria Decision Making (MCDM) procedures are essential for making wise decisions since choosing materials is complicated. This study employs fuzzy analytic network process (FANP) techniques to determine which bio-composite filaments will be the most effective for Fused Deposition Modeling (FDM). The requirements and available factors of egg carton packaging material determine the selection criteria for bio-composite filaments. These factors serve as the foundation for identifying ten essential features. The acquired data showed that the sugar palm fiber/polylactic acid composite (SPF/PLA) 7.5 wt.% fiber loading exhibited the highest priority score, 19.80%. The kenaf/acrylonitrile butadiene styrene (Kenaf/ABS) composite, with a fiber loading of 7.5%, exhibited the lowest ranking, scoring 4.4%. Subsequently, a sensitivity analysis was conducted to further corroborate the findings. It was observed that the SPF/PLA 7.5 wt.% fiber loading consistently ranked highest throughout all four examined scenarios. The study determined that a bio-composite filament material with a weight ratio of 7.5% SPF/PLA fiber loading is the optimal choice for utilizing FDM technology in the design of egg carton packaging.

Full text available from: Official URL: http://www.pertanika.upm.edu.my/resources/files/Pe...

Abstract

The concurrent engineering approach necessitates integrating material selection into the product design to effectively align with client specifications. Premature product failure, leading to substantial losses, frequently arises as a consequence of inadequate material selection due to conflicting demands. The Multi-Criteria Decision Making (MCDM) procedures are essential for making wise decisions since choosing materials is complicated. This study employs fuzzy analytic network process (FANP) techniques to determine which bio-composite filaments will be the most effective for Fused Deposition Modeling (FDM). The requirements and available factors of egg carton packaging material determine the selection criteria for bio-composite filaments. These factors serve as the foundation for identifying ten essential features. The acquired data showed that the sugar palm fiber/polylactic acid composite (SPF/PLA) 7.5 wt.% fiber loading exhibited the highest priority score, 19.80%. The kenaf/acrylonitrile butadiene styrene (Kenaf/ABS) composite, with a fiber loading of 7.5%, exhibited the lowest ranking, scoring 4.4%. Subsequently, a sensitivity analysis was conducted to further corroborate the findings. It was observed that the SPF/PLA 7.5 wt.% fiber loading consistently ranked highest throughout all four examined scenarios. The study determined that a bio-composite filament material with a weight ratio of 7.5% SPF/PLA fiber loading is the optimal choice for utilizing FDM technology in the design of egg carton packaging.

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Item Type:	Article
AGROVOC Term:	kenaf
AGROVOC Term:	Arenga pinnata
AGROVOC Term:	packaging boxes
AGROVOC Term:	food industry
AGROVOC Term:	plastics
AGROVOC Term:	experimentation
AGROVOC Term:	bio-based products
AGROVOC Term:	biocomposites
AGROVOC Term:	sustainability
Geographical Term:	Malaysia
Uncontrolled Keywords:	Bio-composites filaments, fused deposition modeling (FDM), fuzzy analytic network process, material selection process
Depositing User:	Ms. Azariah Hashim
Date Deposited:	23 Apr 2026 01:30
Last Modified:	23 Apr 2026 01:30
URI:	http://webagris.upm.edu.my/id/eprint/3019

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