PENGEMBANGAN METODE PENJADWALAN PRODUKSI PADA AREA SHEET METAL PT DIRGANTARA INDONESIA MENGGUNAKAN ALGORITMA GENETIKA
PT Dirgantara Indonesia is an aircraft manufacturing company located in Bandung. In fulfilling customer requests, it was found that there were piles of components that had not yet been processed, causing delays in fulfilling customer requests. The production schedule that is being carried out at...
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id-itb.:777932023-09-14T09:58:56ZPENGEMBANGAN METODE PENJADWALAN PRODUKSI PADA AREA SHEET METAL PT DIRGANTARA INDONESIA MENGGUNAKAN ALGORITMA GENETIKA Prasasti Asshafah Tan, Vini Indonesia Final Project production schedule, jobshop, genetic algorithm, metaheuristic. INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/77793 PT Dirgantara Indonesia is an aircraft manufacturing company located in Bandung. In fulfilling customer requests, it was found that there were piles of components that had not yet been processed, causing delays in fulfilling customer requests. The production schedule that is being carried out at PTDI now is using the priority method. Parts with higher priority will be processed first. To be able to minimize delays in fulfilling customer demands, a better method is needed so it is able to minimize production makespan. The method which was developed to answer the scheduling problems at PTDI is a genetic algorithm. The algorithm developed in this study consists of selection, crossover, mutation, and elimination stages. Algorithm development is translated into Python software for easier and faster calculation methods. By using probability of mutation 0.2 and probability of crossover 0.5, a scheduling sequence is produced along with job assignments to machines that can produce a makespan value that is smaller than the one with the existing method. text |
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Institut Teknologi Bandung |
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Institut Teknologi Bandung Library |
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Indonesia Indonesia |
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Institut Teknologi Bandung |
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Indonesia |
description |
PT Dirgantara Indonesia is an aircraft manufacturing company located in Bandung. In
fulfilling customer requests, it was found that there were piles of components that had not
yet been processed, causing delays in fulfilling customer requests. The production schedule
that is being carried out at PTDI now is using the priority method. Parts with higher priority
will be processed first. To be able to minimize delays in fulfilling customer demands, a better
method is needed so it is able to minimize production makespan.
The method which was developed to answer the scheduling problems at PTDI is a genetic
algorithm. The algorithm developed in this study consists of selection, crossover, mutation,
and elimination stages. Algorithm development is translated into Python software for easier
and faster calculation methods. By using probability of mutation 0.2 and probability of
crossover 0.5, a scheduling sequence is produced along with job assignments to machines
that can produce a makespan value that is smaller than the one with the existing method.
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format |
Final Project |
author |
Prasasti Asshafah Tan, Vini |
spellingShingle |
Prasasti Asshafah Tan, Vini PENGEMBANGAN METODE PENJADWALAN PRODUKSI PADA AREA SHEET METAL PT DIRGANTARA INDONESIA MENGGUNAKAN ALGORITMA GENETIKA |
author_facet |
Prasasti Asshafah Tan, Vini |
author_sort |
Prasasti Asshafah Tan, Vini |
title |
PENGEMBANGAN METODE PENJADWALAN PRODUKSI PADA AREA SHEET METAL PT DIRGANTARA INDONESIA MENGGUNAKAN ALGORITMA GENETIKA |
title_short |
PENGEMBANGAN METODE PENJADWALAN PRODUKSI PADA AREA SHEET METAL PT DIRGANTARA INDONESIA MENGGUNAKAN ALGORITMA GENETIKA |
title_full |
PENGEMBANGAN METODE PENJADWALAN PRODUKSI PADA AREA SHEET METAL PT DIRGANTARA INDONESIA MENGGUNAKAN ALGORITMA GENETIKA |
title_fullStr |
PENGEMBANGAN METODE PENJADWALAN PRODUKSI PADA AREA SHEET METAL PT DIRGANTARA INDONESIA MENGGUNAKAN ALGORITMA GENETIKA |
title_full_unstemmed |
PENGEMBANGAN METODE PENJADWALAN PRODUKSI PADA AREA SHEET METAL PT DIRGANTARA INDONESIA MENGGUNAKAN ALGORITMA GENETIKA |
title_sort |
pengembangan metode penjadwalan produksi pada area sheet metal pt dirgantara indonesia menggunakan algoritma genetika |
url |
https://digilib.itb.ac.id/gdl/view/77793 |
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