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All Journal Jurnal Ilmiah Teknik Industri
Winda Jeania Purnama
Program Studi Teknik Industri, Universitas Tarumanagara
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Industrial & Manufacturing Engineering Transportation

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SIMULASI MONTE CARLO DALAM OPTIMASI BIAYA PEMELIHARAAN Wilson Kosasih; Iphov Kumala Sriwana; Winda Jeania Purnama
Jurnal Ilmiah Teknik Industri Vol 9, No 2 (2021): Jurnal Ilmiah Teknik Industri : Jurnal Keilmuan Teknik dan Manajemen Industri
Publisher : Program Studi Teknik Industri, Fakultas Teknik Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jitiuntar.v9i2.16024

Abstract

Unplanned maintenance can result in high costs. This study uses a Monte Carlo simulation to minimize maintenance costs, where the failure cost and the preventive cost can be balanced. This research was conducted in a medium-sized company that produces shoe soles. The object of research is focused on the critical components of a rotary injection molding machine. The research data is obtained from the company's factual data in the form of historical machine breakdowns, labor costs, component costs, and production loss costs. The results demonstrate that the optimal preventive maintenance schedule can save the rate of maintenance costs for each critical component by 24.54%, 54.63%, and 21.51% compared to actual maintenance.
SIMULASI MONTE CARLO DALAM OPTIMASI BIAYA PEMELIHARAAN Wilson Kosasih; Iphov Kumala Sriwana; Winda Jeania Purnama
Jurnal Ilmiah Teknik Industri Vol. 9 No. 2 (2021): Jurnal Ilmiah Teknik Industri : Jurnal Keilmuan Teknik dan Manajemen Industri
Publisher : Program Studi Teknik Industri, Fakultas Teknik Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jitiuntar.v9i2.16024

Abstract

Unplanned maintenance can result in high costs. This study uses a Monte Carlo simulation to minimize maintenance costs, where the failure cost and the preventive cost can be balanced. This research was conducted in a medium-sized company that produces shoe soles. The object of research is focused on the critical components of a rotary injection molding machine. The research data is obtained from the company's factual data in the form of historical machine breakdowns, labor costs, component costs, and production loss costs. The results demonstrate that the optimal preventive maintenance schedule can save the rate of maintenance costs for each critical component by 24.54%, 54.63%, and 21.51% compared to actual maintenance.
Co-Authors Iphov Kumala Sriwana Wilson Kosasih