Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/36155
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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
Appears in Collections:School of Mechatronic Engineering (Articles)

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