Analisis Perancangan Kebijakan Maintenance Pada Ekskavator Kobelco Sk200 Dengan Menggunakan Metode Life Cycle Cost (lcc) Dan Overall Equipment Effectiveness (oee) Di Po Rajawali Project

Abstrak

ABSTRAK
Rajawali Project merupakan perusahaan penyewaan alat berat yang terletak di Baleendah, Kabupaten Bandung yang menyewakan pelbagai macam alat berat seperti ekskavator, buldoser, truk, dan lain sebagainya. Kobelco SK200 merupakan salah satu ekskavator yang dimiliki oleh Rajawali Project yang mempunyai frekuensi kerusakan paling tinggi dibandingkan dengan alat berat lainnya. Untuk mengatasi hal tersebut, metode yang dapat digunakan adalah metode Life Cycle Cost (LCC) dan Overall Equipment Effectiveness (OEE). Berdasarkan metode LCC, diperoleh total nilai LCC paling minimum sebesar Rp.250.877.275 dengan umur ekskavator optimal selama 17 tahun dan jumlah maintenance crew optimal sebanyak dua orang. Berdasarkan metode OEE, diperoleh nilai OEE sebesar 85.05% serta faktor losses terbesar yaitu faktor defect losses dan reduced speed dari six big losses sebesar masing-masing 27.3% dari total losses.
Kata Kunci – Life Cycle Cost, Overall Equipment Effectiveness, Six Big Losses
ABSTRACT
Rajawali Project is a heavy equipment rental company located in Baleendah, Kabupaten Bandung which rents a various kinds of heavy equipment such as excavators, bulldozers, trucks, etc. Kobelco SK200 excavator is one of the excavators owned by Rajawali Project which has the highest failure rate compared to the other heavy equipment. To overcome this, two methods are needed. They are Life Cycle Cost (LCC) and Overall Equipment Effectiveness (OEE). Based on the LCC method, the lowest LCC total amount is Rp.250.877.275 with the optimal retirement age life for 17 years and the optimum maintenance crew of two people. Based on the OEE method, the OEE value is 85.05%, and the biggest losses factor was defect losses and reduced speed factor from six big losses, which is 27.3% each from the total losses.
Keywords – Life Cycle Cost, Overall Equipment Effectiveness, Six Big Losses