Mahbub, Ijlal (2018) Penentuan Kebijakan Optimal Preventive Maintenance untuk Meningkatkan Availability Peralatan pada Perusahaan Leasing. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Peralatan yang digunakan pada industri pertambangan umumnya menggunakan alat berat dengan jasa leasing. Lessor menyewakan peralatan kepada perusahaan pertambangan sebagai lessee. Ketika terjadi breakdown maka perlu dilakukan maintenance yang sepenuhnya menjadi tanggung jawab lessor. Adapun lessee hanya membayar sebesar nilai availability aktual. Selain itu, terdapat minimum availability yang harus dipenuhi oleh lessor. Ketika hanya terdapat satu peralatan yang disewakan, kebijakan optimal PM dapat dengan mudah didapatkan untuk meminimasi biaya PM yang harus dikeluarkan lessor. Namun, ketika terdapat beberapa peralatan yang disewakan, jumlah kegiatan PM, kumulatif downtime, dan total biaya perawatan akan bertambah seiring dengan bertambahnya jumlah peralatan yang disewakan. Kebijakan grouping PM diharapkan dapat menurunkan total biaya perawatan dan meningkatkan availability. Pada penelitian ini dilakukan grouping maintenance berdasarkan biaya optimal dari semua kemungkinan grouping peralatan. Perhitungan availability dilakukan setelah didapatkan waktu optimal yang terjadi pada grouping maintenance policy. Dengan mengikuti cara ini, group optimal PM sebanyak 6 group dengan availability Caterpillar sebesar 96,131% dan Komatsu sebesar 95,6874% dengan jumlah 4 group. Selanjutnya penjadwalan maintenance pada masing-masing peralatan dibuat berdasarkan interval waktu optimal grouping.
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Heavy equipment is the one of commonly used equipment in mining industry, ordinarily the company relies on leasing company to accommodate the heavy equipment. Hereby, the leasing company called as lessor that leases the equipment to mining company as lessee. When the breakdown comes up it needs to do a certain maintenance (PM/CM), thoroughly in charge by the lessor. Lessee would pay the lease as much as actual availability. Moreover, there is a minimum availability which must be met by the lessor. For a single device, the optimal PM policy can be easily derived such that the expected cost to the lessor is minimized. However, for the case where multiple non-identical devices are leased by the same lessee, the number of PM actions, the cumulative downtime, and expected total maintenance cost will increase dramatically according to the optimal PM policy for each device. Grouping PM policy hopefully can increase availability and reduce maintenance cost. Grouping maintenance equipment from all possibility grouping maintenance optimal cost perfomed by this research. Availability measurement done after the optimal time obtained from grouping maintenance policy result. By following these steps, the optimal grouping maintenance for Caterpillar and Komatsu are six and four groups that can increase expected availability approximately 96,131% and 95,6874%, respectively. Scheduling maintenance in each group also done based on the optimum interval time for grouping maintenance.
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Additional Information: | RSI 620.004 6 Mah p-1 3100018078888 |
| Uncontrolled Keywords: | Availability, Grouping Maintenance Policy, Leasing |
| Subjects: | T Technology > T Technology (General) > T58.62 Decision support systems T Technology > TJ Mechanical engineering and machinery > TJ174 Maintenance and repair of machinery |
| Divisions: | Faculty of Industrial Technology > Industrial Engineering > 26201-(S1) Undergraduate Thesis |
| Depositing User: | Muh. Ijlal Mahbub |
| Date Deposited: | 03 Jan 2019 07:43 |
| Last Modified: | 15 Oct 2020 06:46 |
| URI: | http://repository.its.ac.id/id/eprint/53265 |
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