Multi Objective Optimization Using Genetic Algorithm of a Pneumatic Connector

• Main Authors: Salaam, H.A., Taha, Z., Tuan Ya, T.
• Format: Article
• Published: Institute of Physics Publishing 2018
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85045645384&doi=10.1088%2f1757-899X%2f319%2f1%2f012071&partnerID=40&md5=6655a12390e58d27027f7e52e40faa3a; http://eprints.utp.edu.my/21677/

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. © Published under licence by IOP Publishing Ltd.