Pengembangan Model Penjadwalan Maintenance Dengan Multiple Swarms-Modified Discrete Particle Swarm Optimization (MSMDPSO) dan Reliability-Centered Maintenance II (RCM II)

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. ============================================================================== 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: Mrs Anis Wulandari
Date Deposited: 12 Jun 2017 04:23
Last Modified: 27 Dec 2018 07:51
URI: https://repository.its.ac.id/id/eprint/41595

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