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dc.contributor.authorMohd Muzafar, Ismail
dc.contributor.authorMohd Azlishah, Othman
dc.contributor.authorHamzah Asyrani, Sulaiman
dc.contributor.authorMaizatul Alice, Meor Said
dc.contributor.authorMohd Harris, Misran
dc.contributor.authorRidza Azri, Ramlee
dc.contributor.authorMohan, Sinnappa
dc.contributor.authorZahriladha, Zakaria
dc.contributor.authorBadrul Hisham, Ahmad
dc.contributor.authorMohamad Zoinol Abidin, Abd Aziz
dc.contributor.authorKhairuddin, Osman
dc.contributor.authorSiti Fatimah, Sulaiman
dc.contributor.authorHazriq Izzuan, Jaafar
dc.contributor.authorKamaruzaman, Jusoff
dc.contributor.authorNur Anis, Nordin
dc.contributor.authorMohd Hafiz, Othman
dc.contributor.authorMuhammad Salihin, Saeala
dc.contributor.authorAsrul, Adam
dc.contributor.authorHafizah, Amer
dc.contributor.authorAmar Faiz, Zainal Abidin
dc.contributor.authorNurul Syahirah, Khalid
dc.contributor.authorMasturah, Tunnur
dc.contributor.authorMasmaria, Abdul Majid
dc.contributor.authorShadia, Suhaimi
dc.date.accessioned2014-07-10T07:53:08Z
dc.date.available2014-07-10T07:53:08Z
dc.date.issued2013
dc.identifier.citationWorld Applied Sciences Journal, vol.21 (21)(Special Issue of Engineering and Technology), 2013, pages 91-97en_US
dc.identifier.issn1818-4952
dc.identifier.urihttp://dspace.unimap.edu.my:80/dspace/handle/123456789/36155
dc.descriptionLink to publisher's homepage at http://www.idosi.org/en_US
dc.description.abstractElectronic 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.en_US
dc.language.isoenen_US
dc.publisherIDOSI Publicationsen_US
dc.subjectMagnetic Optimization Algorithmen_US
dc.subjectSwarm intelligenceen_US
dc.subjectRoute planningen_US
dc.subjectHoles drilling processen_US
dc.subjectComputational intelligenceen_US
dc.titleRoute planning analysis in holes drilling process using magnetic optimization algorithm for electronic manufacturing sectoren_US
dc.typeArticleen_US
dc.identifier.urlhttp://www.idosi.org/wasj/wasj21%28et%2913/12.pdf
dc.contributor.urlazlishah@utem.edu.myen_US


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