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:
Online Access:http://umpir.ump.edu.my/id/eprint/23348/7/Multi%20Objective%20Optimization%20Using%20Genetic.pdf
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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
collection UMP
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.
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spelling UMPir233482019-12-09T06:23:42Z 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) (Published) https://doi.org/10.1088/1757-899X/319/1/012071
spellingShingle TS Manufactures
H. A., Salaam
Zahari, Taha
T. M. Y. S., Tuan Ya
Multi objective optimization using genetic algorithm of a pneumatic connector
title 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_short Multi objective optimization using genetic algorithm of a pneumatic connector
title_sort multi objective optimization using genetic algorithm of a pneumatic connector
topic TS Manufactures
url http://umpir.ump.edu.my/id/eprint/23348/7/Multi%20Objective%20Optimization%20Using%20Genetic.pdf
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