Route Planning Analysis In Holes Drilling Process Using Magnetic Optimization Algorithm For Electronic Manufacturing Sector

Ismail, Mohd Muzafar and Othman, Mohd Azlishah and Sulaiman, Hamzah Asyrani and Meor Said, Maizatul Alice and Misran, Mohamad Harris and Ramlee, Ridza Azri and Sinnappa, Mohan and Zakaria, Zahriladha and Ahmad, Badrul Hisham and Abd Aziz, Mohamad Zoinol Abidin and Osman, Khairuddin and Sulaiman, Siti Fatimah and Jaafar, Hazriq Izzuan and Jusoff, Kamaruzaman and Nordin, Nur Anis and Othman, Mohd Hafiz and Saealal, Muhammad Salihin and Adam, Asrul and Amer, Hafizah and Zainal Abidin, Amar Faiz and Khalid, Nurul Syahirah and Tunnur, Masturah and Abdul Majid, Masmaria and Suhaimi, Shadia (2013) Route Planning Analysis In Holes Drilling Process Using Magnetic Optimization Algorithm For Electronic Manufacturing Sector. World Applied Sciences Journal 21(Special Issue Of Engineering And Technology), 21. pp. 91-97. ISSN 1818-4952

Text 79.pdf - Published Version Download (280kB)

Abstract

Electronic manufacturing sector uses computer numerical controlled machines for drilling holes. Most of the computer numerical controlled machines used nearest neighbour algorithm to plan the route for the drill bit to travel. Based on this motivation, this paper proposes an approach which is based on the experimentation of Magnetic Optimization Algorithm. In this implementation, each magnetic agent or particle in Magnetic Optimization Algorithm represents a candidate solution of the problem. The magnitude of the magnetic force between these particles is inversely proportional to the distance calculated by the solution they represented. Particles with greater magnetic force will attract other particles with relatively smaller magnetic force, towards it. The process is repeated until the stopping condition meets and the solution with lowest distance is taken as the best-found solution. Result obtained from the case study shows that the proposed approach managed to find the optimal solution. With this method, electronics manufacturing sector can optimize the drilling process hence will increase the productivity of the manufacturer. This study can be extended further by tuning the parameters of MOA in order to enhance the drilling route process.

Item Type:	Article
Uncontrolled Keywords:	Magnetic Optimization Algorithm, Swarm Intelligence, Route Planning, Holes drilling process, Computational Intelligence
Subjects:	T Technology > T Technology (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:	Faculty of Electronics and Computer Engineering
Depositing User:	Mohd. Nazir Taib
Date Deposited:	24 Oct 2018 04:27
Last Modified:	13 Jul 2021 17:51
URI:	http://eprints.utem.edu.my/id/eprint/21089
Statistic Details:	View Download Statistic

Actions (login required)

View Item