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Multi objective optimization using genetic algorithm of a pneumatic connector

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)

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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.

Item Type: Conference or Workshop Item (Lecture)
Uncontrolled Keywords: Environmental impact; Ergonomics; Genetic algorithms; Multiobjective optimization
Subjects: T Technology > TS Manufactures
Faculty/Division: Faculty of Manufacturing Engineering
Depositing User: Mrs. Neng Sury Sulaiman
Date Deposited: 21 Dec 2018 07:56
Last Modified: 09 Dec 2019 06:23
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