Multi-Objective Optimization For High Recyclability Material Selection Using Genetic Algorithm

Material selection plays an important role in product design. A design demands specific material properties in order to fulfill its functional requirements and to minimize its detrimental impact on the environment. Hence, much effort has been devoted to the recyclability of a product at the end of i...

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Main Authors:	Sakundarini, Novita, Zahari, Taha, Salwa Hanim, Abdul-Rashid, Raja Ariffin, Raja Ghazilla, Gonzales, Julirose
Format:	Article
Language:	English English
Published:	Springer-Verlag 2013
Subjects:	TS Manufactures
Online Access:	http://umpir.ump.edu.my/id/eprint/6600/ http://umpir.ump.edu.my/id/eprint/6600/ http://umpir.ump.edu.my/id/eprint/6600/ http://umpir.ump.edu.my/id/eprint/6600/1/Multi-Objective_Optimization_For_High_Recyclability_Material_Selection_Using_Genetic_Algorithm.pdf http://umpir.ump.edu.my/id/eprint/6600/4/Int%20J%20Adv%20Manuf%20Technol.pdf

id	ump-6600
recordtype	eprints
spelling	ump-66002018-01-22T02:44:19Z http://umpir.ump.edu.my/id/eprint/6600/ Multi-Objective Optimization For High Recyclability Material Selection Using Genetic Algorithm Sakundarini, Novita Zahari, Taha Salwa Hanim, Abdul-Rashid Raja Ariffin, Raja Ghazilla Gonzales, Julirose TS Manufactures Material selection plays an important role in product design. A design demands specific material properties in order to fulfill its functional requirements and to minimize its detrimental impact on the environment. Hence, much effort has been devoted to the recyclability of a product at the end of its life during product design. It is the responsibility of the designers to incorporate recyclability considerations during product design to ensure that a certain level of recyclability is attained at the end of a product’s life as imposed by legislation. The complex relationships between different selection parameters complicate the material selection process. Designers are faced with the challenge of selecting suitable materials that could satisfy cost and functional and environmental performance. Therefore, solving material selection in respect of satisfying product recyclability is an area worthy of investigation. This paper attempts to propose an approach that could facilitate designers to select recyclable materials as well as reducing the complexities in decision making. In this paper, the use of a genetic algorithm is proposed to optimize the multi-objective problem in the selection of recyclable materials. A case study on the automobile’s side mirror is used to demonstrate this approach. Springer-Verlag 2013 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/6600/1/Multi-Objective_Optimization_For_High_Recyclability_Material_Selection_Using_Genetic_Algorithm.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/6600/4/Int%20J%20Adv%20Manuf%20Technol.pdf Sakundarini, Novita and Zahari, Taha and Salwa Hanim, Abdul-Rashid and Raja Ariffin, Raja Ghazilla and Gonzales, Julirose (2013) Multi-Objective Optimization For High Recyclability Material Selection Using Genetic Algorithm. The International Journal of Advanced Manufacturing Technology, 68 (5-8). pp. 1441-1451. ISSN 0268-3768 (Print), 1433-3015 (Online) http://dx.doi.org/10.1007/s00170-013-4933-x DOI: 10.1007/s00170-013-4933-x
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English English
topic	TS Manufactures
spellingShingle	TS Manufactures Sakundarini, Novita Zahari, Taha Salwa Hanim, Abdul-Rashid Raja Ariffin, Raja Ghazilla Gonzales, Julirose Multi-Objective Optimization For High Recyclability Material Selection Using Genetic Algorithm
description	Material selection plays an important role in product design. A design demands specific material properties in order to fulfill its functional requirements and to minimize its detrimental impact on the environment. Hence, much effort has been devoted to the recyclability of a product at the end of its life during product design. It is the responsibility of the designers to incorporate recyclability considerations during product design to ensure that a certain level of recyclability is attained at the end of a product’s life as imposed by legislation. The complex relationships between different selection parameters complicate the material selection process. Designers are faced with the challenge of selecting suitable materials that could satisfy cost and functional and environmental performance. Therefore, solving material selection in respect of satisfying product recyclability is an area worthy of investigation. This paper attempts to propose an approach that could facilitate designers to select recyclable materials as well as reducing the complexities in decision making. In this paper, the use of a genetic algorithm is proposed to optimize the multi-objective problem in the selection of recyclable materials. A case study on the automobile’s side mirror is used to demonstrate this approach.
format	Article
author	Sakundarini, Novita Zahari, Taha Salwa Hanim, Abdul-Rashid Raja Ariffin, Raja Ghazilla Gonzales, Julirose
author_facet	Sakundarini, Novita Zahari, Taha Salwa Hanim, Abdul-Rashid Raja Ariffin, Raja Ghazilla Gonzales, Julirose
author_sort	Sakundarini, Novita
title	Multi-Objective Optimization For High Recyclability Material Selection Using Genetic Algorithm
title_short	Multi-Objective Optimization For High Recyclability Material Selection Using Genetic Algorithm
title_full	Multi-Objective Optimization For High Recyclability Material Selection Using Genetic Algorithm
title_fullStr	Multi-Objective Optimization For High Recyclability Material Selection Using Genetic Algorithm
title_full_unstemmed	Multi-Objective Optimization For High Recyclability Material Selection Using Genetic Algorithm
title_sort	multi-objective optimization for high recyclability material selection using genetic algorithm
publisher	Springer-Verlag
publishDate	2013
url	http://umpir.ump.edu.my/id/eprint/6600/ http://umpir.ump.edu.my/id/eprint/6600/ http://umpir.ump.edu.my/id/eprint/6600/ http://umpir.ump.edu.my/id/eprint/6600/1/Multi-Objective_Optimization_For_High_Recyclability_Material_Selection_Using_Genetic_Algorithm.pdf http://umpir.ump.edu.my/id/eprint/6600/4/Int%20J%20Adv%20Manuf%20Technol.pdf
first_indexed	2023-09-18T22:02:31Z
last_indexed	2023-09-18T22:02:31Z
_version_	1777414492581265408

Multi-Objective Optimization For High Recyclability Material Selection Using Genetic Algorithm

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