Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/36155
Title: Route planning analysis in holes drilling process using magnetic optimization algorithm for electronic manufacturing sector
Authors: Mohd Muzafar, Ismail
Mohd Azlishah, Othman
Hamzah Asyrani, Sulaiman
Maizatul Alice, Meor Said
Mohd Harris, Misran
Ridza Azri, Ramlee
Mohan, Sinnappa
Zahriladha, Zakaria
Badrul Hisham, Ahmad
Mohamad Zoinol Abidin, Abd Aziz
Khairuddin, Osman
Siti Fatimah, Sulaiman
Hazriq Izzuan, Jaafar
Kamaruzaman, Jusoff
Nur Anis, Nordin
Mohd Hafiz, Othman
Muhammad Salihin, Saeala
Asrul, Adam
Hafizah, Amer
Amar Faiz, Zainal Abidin
Nurul Syahirah, Khalid
Masturah, Tunnur
Masmaria, Abdul Majid
Shadia, Suhaimi
azlishah@utem.edu.my
Keywords: Magnetic Optimization Algorithm
Swarm intelligence
Route planning
Holes drilling process
Computational intelligence
Issue Date: 2013
Publisher: IDOSI Publications
Citation: World Applied Sciences Journal, vol.21 (21)(Special Issue of Engineering and Technology), 2013, pages 91-97
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.
Description: Link to publisher's homepage at http://www.idosi.org/
URI: http://dspace.unimap.edu.my:80/dspace/handle/123456789/36155
ISSN: 1818-4952
Appears in Collections:School of Mechatronic Engineering (Articles)

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