Penggunaan kaedah algoritma genetik dalam permasalahan penjadualan PCB: kajian kes di industri elektronik

Production planning and scheduling functions play important roles in production especially to ensure the availability of manufacturing resources needed to accomplish production tasks. This paper proposes the use of Genetic Algorithm in solving scheduling problems and the case study has been conducte...

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Main Author: Zalinda Othman
Format: Article
Language:English
Published: 2010
Online Access:http://journalarticle.ukm.my/2598/1/7-2010.pdf
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author Zalinda Othman,
author_facet Zalinda Othman,
author_sort Zalinda Othman,
collection UKM
description Production planning and scheduling functions play important roles in production especially to ensure the availability of manufacturing resources needed to accomplish production tasks. This paper proposes the use of Genetic Algorithm in solving scheduling problems and the case study has been conducted in printed circuit board assembly company. Genetic algorithm formulation included chromosome representations and genetic operators have been developed to suit the scheduling problems that take into account the alternative production lines. Simulation results have been compared to the manual schedules. It shown that the genetic algorithm is capable to produce schedules with shorter assembly time. It is can accommodate additional elements such as maintainance time quite easily. This is done by adding the maintenance time slot within the chromosome. Another experiment has been done by using dispatching rule in sequencing the models on the assembly lines. Genetic Algorithms have shown a promising results compared to manuan and dispatching rule
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spelling ukm.eprints-25982016-12-14T06:32:05Z http://journalarticle.ukm.my/2598/ Penggunaan kaedah algoritma genetik dalam permasalahan penjadualan PCB: kajian kes di industri elektronik Zalinda Othman, Production planning and scheduling functions play important roles in production especially to ensure the availability of manufacturing resources needed to accomplish production tasks. This paper proposes the use of Genetic Algorithm in solving scheduling problems and the case study has been conducted in printed circuit board assembly company. Genetic algorithm formulation included chromosome representations and genetic operators have been developed to suit the scheduling problems that take into account the alternative production lines. Simulation results have been compared to the manual schedules. It shown that the genetic algorithm is capable to produce schedules with shorter assembly time. It is can accommodate additional elements such as maintainance time quite easily. This is done by adding the maintenance time slot within the chromosome. Another experiment has been done by using dispatching rule in sequencing the models on the assembly lines. Genetic Algorithms have shown a promising results compared to manuan and dispatching rule 2010 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/2598/1/7-2010.pdf Zalinda Othman, (2010) Penggunaan kaedah algoritma genetik dalam permasalahan penjadualan PCB: kajian kes di industri elektronik. Jurnal Kejuruteraan, 22 . pp. 63-74. http://www.ukm.my/jkukm/index.php/jkukm
spellingShingle Zalinda Othman,
Penggunaan kaedah algoritma genetik dalam permasalahan penjadualan PCB: kajian kes di industri elektronik
title Penggunaan kaedah algoritma genetik dalam permasalahan penjadualan PCB: kajian kes di industri elektronik
title_full Penggunaan kaedah algoritma genetik dalam permasalahan penjadualan PCB: kajian kes di industri elektronik
title_fullStr Penggunaan kaedah algoritma genetik dalam permasalahan penjadualan PCB: kajian kes di industri elektronik
title_full_unstemmed Penggunaan kaedah algoritma genetik dalam permasalahan penjadualan PCB: kajian kes di industri elektronik
title_short Penggunaan kaedah algoritma genetik dalam permasalahan penjadualan PCB: kajian kes di industri elektronik
title_sort penggunaan kaedah algoritma genetik dalam permasalahan penjadualan pcb kajian kes di industri elektronik
url http://journalarticle.ukm.my/2598/1/7-2010.pdf
work_keys_str_mv AT zalindaothman penggunaankaedahalgoritmagenetikdalampermasalahanpenjadualanpcbkajiankesdiindustrielektronik