Daftar Isi:
  • ABSTRAK Overall Equipment Effectiveness (OEE) merupakan suatu pengukuran efektivitas pemakaian suatu mesin/peralatan dengan menghitung ketersediaan mesin, performansi dan kualitas produk yang dihasilkan. OEE terdiri dari tiga rasio utama yaitu Availability, Performance, Dan Quality. Perhitungan OEE dilakukan untuk mengukur kinerja mesin extruder 160. Failure Mode and Effect Analysis (FMEA) merupakan suatu prosedur untuk mengidentifikasi penyebab kerusakan pada mesin extruder 160 berdasarkan penyebab kegagalan dari Severity, Occurrence, dan Detection, sehingga didapatkan nilai Risk Priority Number (RPN). Penelitian dilakukan pada bulan januari - desember 2019 diperoleh rata-rata presentase nilai availability ratio sebesar 99%, performance sebesar 71% dan rate of quality sebesar 99%. Secara rata-rata pencapaian OEE hanya sebesar 69%, Pencapaian ini tidak memenuhi standar jika dibandingkan nilai OEE dari peralatan dalam kondisi ideal yang merupakan standar dari perusahaan kelas dunia yaitu sebesar 85 %. Rendahnya nilai OEE disebabkan oleh 4 faktor yaitu Kurangnya skill operator (Manusia), Usia mesin, jadwal preventive maintenance dan kualitas mesin (Mesin), Posisi pemasangan yang tidak pas karena kurangnya pelatihan terkait maintenance mesin extruder 160 (Metode) dan Suku cadang tidak sesuai dengan standart (Material). Diperoleh nilai Risk Priority Number (RPN) tertinggi sebesar 294 yaitu pada faktor mesin. Kata Kunci: Produktivitas, OEE, Diagram Pareto, Fishbone Diagram, FMEA ABSTRACT Overall Equipment Effectiveness (OEE) is a measurement of the effectiveness of using a machine / equipment by calculating the availability of machines, performance and quality of products produced. OEE consists of three main ratios namely Availability, Performance, and Quality. OEE calculation is done to measure the performance of the extruder 160 machine. Failure Mode and Effect Analysis (FMEA) is a procedure to identify the cause of damage to the extruder 160 machine based on the cause of failure from Severity, Occurrence, and Detection, so that the Risk Priority Number (RPN) value is obtained. The study was conducted in January - December 2019 obtained an average percentage availability value of 99%, performance by 71% and a rate of quality of 99%. On average, the achievement of OEE is only 64%, this achievement does not meet the standards when compared to the OEE value of the equipment in ideal conditions which is the standard of a world-class company of 85%. The low value of OEE is caused by 4 factors: Lack of operator skill (Human), Machine age, preventive maintenance schedule and machine quality (Machine), improper installation position due to lack of training related to maintenance of extruder 160 machines (Method) and spare parts are not in accordance with standard (Material). The highest Risk Priority Number (RPN) value is 294, which is the engine factor. Keywords: Productivity, OEE, Pareto Diagrams, Fishbone Diagrams, FMEA