Multi objective optimization using genetic algorithm of a pneumatic connector

The concept of sustainability was first introduced by Dr Harlem Brutland in the 1980's promoting the need to preserve today's natural environment for the sake of future generations. Based on this concept, John Elkington proposed an approach to measure sustainability known as Triple Bottom...

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Main Authors:	H. A., Salaam, Zahari, Taha, T. M. Y. S., Tuan Ya
Format:	Conference or Workshop Item
Language:	English
Published:	IOP Publishing 2018
Subjects:	TS Manufactures
Online Access:	http://umpir.ump.edu.my/id/eprint/23348/ http://umpir.ump.edu.my/id/eprint/23348/ http://umpir.ump.edu.my/id/eprint/23348/7/Multi%20Objective%20Optimization%20Using%20Genetic.pdf

id	ump-23348
recordtype	eprints
spelling	ump-233482019-12-09T06:23:42Z http://umpir.ump.edu.my/id/eprint/23348/ Multi objective optimization using genetic algorithm of a pneumatic connector H. A., Salaam Zahari, Taha T. M. Y. S., Tuan Ya TS Manufactures The concept of sustainability was first introduced by Dr Harlem Brutland in the 1980's promoting the need to preserve today's natural environment for the sake of future generations. Based on this concept, John Elkington proposed an approach to measure sustainability known as Triple Bottom Line (TBL). There are three evaluation criteria's involved in the TBL approach; namely economics, environmental integrity and social equity. In manufacturing industry the manufacturing costs measure the economic sustainability of a company in a long term. Environmental integrity is a measure of the impact of manufacturing activities on the environment. Social equity is complicated to evaluate; but when the focus is at the production floor level, the production operator health can be considered. In this paper, the TBL approach is applied in the manufacturing of a pneumatic nipple hose. The evaluation criteria used are manufacturing costs, environmental impact, ergonomics impact and also energy used for manufacturing. This study involves multi objective optimization by using genetic algorithm of several possible alternatives for material used in the manufacturing of the pneumatic nipple. IOP Publishing 2018 Conference or Workshop Item PeerReviewed pdf en cc_by http://umpir.ump.edu.my/id/eprint/23348/7/Multi%20Objective%20Optimization%20Using%20Genetic.pdf H. A., Salaam and Zahari, Taha and T. M. Y. S., Tuan Ya (2018) Multi objective optimization using genetic algorithm of a pneumatic connector. In: IOP Conference Series: Materials Science and Engineering, The 4th Asia Pacific Conference on Manufacturing Systems and the 3rd International Manufacturing Engineering Conference, 7-8 December 2017 , Yogyakarta, Indonesia. pp. 1-6., 319 (012071). ISSN 1757-8981 (Print), 1757-899X (Online) https://doi.org/10.1088/1757-899X/319/1/012071
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TS Manufactures
spellingShingle	TS Manufactures H. A., Salaam Zahari, Taha T. M. Y. S., Tuan Ya Multi objective optimization using genetic algorithm of a pneumatic connector
description	The concept of sustainability was first introduced by Dr Harlem Brutland in the 1980's promoting the need to preserve today's natural environment for the sake of future generations. Based on this concept, John Elkington proposed an approach to measure sustainability known as Triple Bottom Line (TBL). There are three evaluation criteria's involved in the TBL approach; namely economics, environmental integrity and social equity. In manufacturing industry the manufacturing costs measure the economic sustainability of a company in a long term. Environmental integrity is a measure of the impact of manufacturing activities on the environment. Social equity is complicated to evaluate; but when the focus is at the production floor level, the production operator health can be considered. In this paper, the TBL approach is applied in the manufacturing of a pneumatic nipple hose. The evaluation criteria used are manufacturing costs, environmental impact, ergonomics impact and also energy used for manufacturing. This study involves multi objective optimization by using genetic algorithm of several possible alternatives for material used in the manufacturing of the pneumatic nipple.
format	Conference or Workshop Item
author	H. A., Salaam Zahari, Taha T. M. Y. S., Tuan Ya
author_facet	H. A., Salaam Zahari, Taha T. M. Y. S., Tuan Ya
author_sort	H. A., Salaam
title	Multi objective optimization using genetic algorithm of a pneumatic connector
title_short	Multi objective optimization using genetic algorithm of a pneumatic connector
title_full	Multi objective optimization using genetic algorithm of a pneumatic connector
title_fullStr	Multi objective optimization using genetic algorithm of a pneumatic connector
title_full_unstemmed	Multi objective optimization using genetic algorithm of a pneumatic connector
title_sort	multi objective optimization using genetic algorithm of a pneumatic connector
publisher	IOP Publishing
publishDate	2018
url	http://umpir.ump.edu.my/id/eprint/23348/ http://umpir.ump.edu.my/id/eprint/23348/ http://umpir.ump.edu.my/id/eprint/23348/7/Multi%20Objective%20Optimization%20Using%20Genetic.pdf
first_indexed	2023-09-18T22:34:54Z
last_indexed	2023-09-18T22:34:54Z
_version_	1777416530640764928

Multi objective optimization using genetic algorithm of a pneumatic connector

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