Amal, Ihlasul (2025) Analisis Produktivitas Long Heating Sistem pada Industri Leaf Spring Menggunakan Metode Overall Equipment Effectiveness Dan Reliability Centered Maintenance. Masters thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Penelitian ini berdasarkan permasalahan di Perusahaan, karena tingginya waktu Downtime mesin Long Heating maka Output Long Heating tidak pernah mencapai target yang sudah ditentukan. Metode OEE digunakan untuk untuk mengukur seberapa efektif suatu peralatan atau mesin digunakan dalam suatu proses produksi. Sedangkan metode RCM digunakan untuk menentukan strategi pemeliharaan yang paling efektif untuk menjaga keandalan dan kinerja optimal suatu. Hasil analisis menunjukkan bahwa rata-rata nilai OEE sebesar 35%, yang masih jauh di bawah standar World Class OEE sebesar 85%. Faktor utama penyebab rendahnya OEE adalah Breakdown Losses (56,50%), disusul oleh Idling & Minor Stop Losses (22,81%) dan Setup & Adjustment Losses (20,67%). Analisis FMEA mengidentifikasi lima mode kegagalan dengan nilai Risk Priority Number (RPN) tertinggi, yaitu Conveyor Yobimage overload (RPN 320), Chuck Loader press error (RPN 315), Chuck Unloader press error (RPN 270), Motor Conveyor output coil (RPN 245), dan Chain Conveyor output coil macet (RPN 240). Rekomendasi tindakan perawatan berdasarkan RCM II Decision Worksheet mencakup 19 mode kegagalan dengan Schedule on Condition Task, 3 dengan Schedule Restoration Task, 8 dengan Schedule Discard Task, 2 dengan Redesign, dan 2 mode kegagalan dengan No Scheduled Maintenance Task. Seluruh mode kegagalan diklasifikasikan sebagai konsekuensi operasional. Hasil ini diharapkan dapat menjadi dasar peningkatan efektivitas pemeliharaan guna menurunkan downtime dan meningkatkan produktivitas mesin. ========================================================================================================================================
This research is based on problems in the Company, due to the high downtime of the Long Heating machine, the Long Heating Output never reaches the predetermined target. The OEE method is used to measure how effectively an equipment or machine is used in a production process. While the RCM method is used to determine the most effective maintenance strategy to maintain reliability and optimal performance of a. The results of the analysis show that the average OEE value is 35%, which is still far below the World Class OEE standard of 85%. The main factor causing low OEE is Breakdown Losses (56.50%), followed by Idling & Minor Stop Losses (22.81%) and Setup & Adjustment Losses (20.67%). FMEA analysis identified five failure modes with the highest Risk Priority Number (RPN) values, namely Conveyor Yobimage overload (RPN 320), Chuck Loader press error (RPN 315), Chuck Unloader press error (RPN 270), Motor Conveyor output coil (RPN 245), and Chain Conveyor output coil jammed (RPN 240). Maintenance action recommendations based on the RCM II Decision Worksheet include 19 failure modes with Schedule on Condition Task, 3 with Schedule Restoration Task, 8 with Schedule Discard Task, 2 with Redesign, and 2 failure modes with No Scheduled Maintenance Task. All failure modes are classified as operational consequences. These results are expected to be the basis for increasing maintenance effectiveness to reduce downtime and increase machine productivity.
| Item Type: | Thesis (Masters) |
|---|---|
| Uncontrolled Keywords: | RCM, OEE, Produktivitas, Downtime, Long Heating |
| Subjects: | T Technology > TJ Mechanical engineering and machinery > TJ174 Maintenance and repair of machinery T Technology > TS Manufactures > TS174 Maintainability (Engineering) . Reliability (Engineering) T Technology > TS Manufactures > TS183 Manufacturing processes. Lean manufacturing. |
| Divisions: | Interdisciplinary School of Management and Technology (SIMT) > 61101-Master of Technology Management (MMT) |
| Depositing User: | Ihlasul Amal |
| Date Deposited: | 29 Jul 2025 02:31 |
| Last Modified: | 29 Jul 2025 02:31 |
| URI: | http://repository.its.ac.id/id/eprint/122455 |
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