@thesis{thesis,
		author={Nabil Reza Respati  Muhammad},
		title ={ANALISA TOTAL PRODUCTIVE MAINTENANCE MESIN EXTRUDER
DENGAN MEMPERHATIKAN FAKTOR RESIKO PADA PT.X},
		year={2023},
		url={https://repository.unipasby.ac.id/id/eprint/4334/},
		abstract={Perkembangan teknologi yang digunakan di perusahaan semakin maju dari waktu ke
waktu, sehingga untuk menjamin kelancaran proses produksi harus selalu memperhatikan
pemeliharaan produktivitas. Permasalahan yang terjadi adalah tingginya cost yang di
timbulkan karena lamanya waktu downtime pada salah satu mesin, yaitu mesin extruder.
Pada penelitian ini mengkaji tentang manajemen perawatan. Pengukuran terhadap seberapa
efisien perawatan yang di lakukan dengan metode Overall Equipment Effectiveness (OEE).
Analisis dari risiko operasional selama proses produksi menggunakan House Of Risk
(HOR). Pengolahan data Overall Equipment Effectiveness dimulai dengan pengukuran tiga
komponen yaitu Availability ratio, Performance Efficiency, dan Rate Of Quality. Dalam
kurun waktu satu tahun, di dapatkan rata-rata nilai OEE mesin extruder pada tahun 2022
sebesar 81,29 %. Identifikasi risiko dilakukan pada proses maintenance mesin extruder.
Hasil dari pengaturan effectiveness to difficulty ratio diperoleh 3 prioritas aksi mitigasi pada
mesin extruder di dapatkan nilai OEE di bawah overall plant efficiency 85%. Atas dasar
tersebut, di pilih 6 risk agent dan 5 preventive action yang menghasilkan feedback tertinggi
terhadap resiko maintenance. Risk agent yang berpengaruh terhadap operasional extruder
adalah kerusakan part, kurangnya jadwal perawatan dan gangguan kelistrikan. Preventive
action yang bisa dilakukan adalah melaksanakan pengecekan mesin tiap minggu.

The development of technology used in the company is advancing from time to time,
so to ensure the smooth production process must always pay attention to productivity
maintenance. The problem that occurs is the high cost incurred due to the length of
downtime on one of the machines, namely the extruder machine. This research examines
maintenance management. Measurement of how efficient maintenance is done with the
Overall Equipment Effectiveness (OEE) method. Analysis of operational risks during the
production process using the House of Risk (HOR). Overall Equipment Effectiveness data
processing starts with measuring three components, namely Availability ratio,
Performance Efficiency, and Rate Of Quality. Within one year, the average OEE value of
the extruder machine in 2022 was 81.29%. Risk identification is carried out in the extruder
machine maintenance process. The results of setting the effectiveness to difficulty ratio
obtained 3 priority mitigation actions on the extruder machine obtained an OEE value
below the overall plant efficiency of 85%. On this basis, 6 risk agents and 5 preventive
actions are selected that produce the highest feedback on maintenance risk. Risk agents
that affect extruder operations are part damage, lack of maintenance schedules and
electrical interference. Preventive action that can be done is to carry out machine checks
every week.}
		}