Swara, Suluh Elman (2016) Pengembangan Model Penjadwalan Maintenance Dengan Multiple Swarms-Modified Discrete Particle Swarm Optimization (MSMDPSO) dan Reliability-Centered Maintenance II (RCM II). Masters thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
PT. XYZ merupakan salah satu industri yang proses produksinya banyak
menggunakan mesin sebagai pengganti tenaga manusia, yang memiliki kecepatan
produksi mencapai 500 pieces/minute. Untuk melayani permintaan pasar yang
semakin tinggi, mesin-mesin harus bekerja selama 24 jam. Dengan beban kerja
mesin seperti itu, akan ada peluang bahwa mesin-mesin produksi tersebut
mengalami kerusakan, baik yang sifatnya telah terprediksi ataupun terjadi secara
insidental. Untuk mencegah terjadinya breakdown sebelum interval perawatan
tiba, yang akan mengakibatkan meningkatnya downtime, maka perlu dilakukan
perencanan penjadwalan perawatan yang optimal.
Pada penelitian ini, perencanaan penjadwalan perawatan akan ditentukan dengan
formulasi model matematis, yang fungsi tujuannya adalah meminimasi kuadrat
variasi inventori perminggu. Adapun fungsi batasan yang diberlakukan antara lain
ketersediaan jumlah produk untuk memenuhi weekly production plan yang telah
ditentukan oleh perusahaan, ketersediaan tenaga kerja perawatan yang setiap hari
hadir dan standby di lantai produksi, dan kesesuaian dengan MTTF dan MTTR
dari komponen yang menjadi objek aktivitas perawatan. Metode optimasi yang
digunakan untuk mencari interval perawatan optimal yang sesuai dengan
minimasi fungsi objektif tersebut adalah multiple swarms-modified discrete
particle swarm optimization (MS_MDPSO), yang dipadukan dengan metode
reliability-centered maintenance II (RCM II) untuk mementukan strategi
perawatan yang sesuai. Hasil penelitian menunjukkan penjadwalan yang
diusulkan mampu mengungguli penjadwalan dan strategi maintenance existing,
dari kriteria keandalan part dan kuadrat variasi inventori perminggunya.
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PT. XYZ is an industrial manufacture that the production processes using the
machine as a substitute for human labor, which has a production speed of up to
500 pieces / minute. To serve the increasing demand, the machines have to work
for 24 hours. With that workloads, there will be a probability that the production
machines were damaged, either predictable or occurred incidentally. To prevent
breakdown before arriving maintenance interval, which will result in increased
downtime, it is necessary to planning optimal maintenance scheduling.
In this research, maintenance scheduling will be determined by the formulation of
a mathematical model, which objective functions is to minimize the sum of the
squares of the inventory in the range of specified period. The function limitations
imposed include the availability of the number of products to meet the weekly
production plan that has been determined by the company, availability of
maintenance labor that stand by every day on the production floor, and
conformity with the MTTF and MTTR of components which became the object of
maintenance activities. Optimization methods are used to find the optimal
maintenance interval, corresponding to the minimization of the objective function
is multiple swarms-modified discrete particle swarm optimization (MS_MDPSO),
which combined with the reliability-centered maintenance II (RCM II) to
determines the appropriate maintenance strategy. The results, solution that
generated by the proposed scheduling model is superior to tho the existing model
in two performances criteria, the reliability of the parts and the sum of the squares
of the inventory.
| Item Type: | Thesis (Masters) |
|---|---|
| Additional Information: | RTI 620.004 6 Swa p |
| Uncontrolled Keywords: | Penjadwalan perawatan yang optimal; multiple swarms-modified discrete particle swarm optimization (MS_MDPSO); reliabilitycentered maintenance II(RCM II); Mean time to failure (MTTF); Mean time to repair (MTTR); optimal maintenance scheduling |
| Subjects: | T Technology > T Technology (General) > T55 Industrial Safety |
| Divisions: | Faculty of Industrial Technology > Industrial Engineering > 26101-(S2) Master Thesis |
| Depositing User: | Anis Wulandari |
| Date Deposited: | 12 Jun 2017 04:23 |
| Last Modified: | 27 Dec 2018 07:51 |
| URI: | http://repository.its.ac.id/id/eprint/41595 |
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