Farras, Khafidz Alauddin (2025) Failure Mode and Effect Analysis (FMEA)-Delphi untuk Meningkatkan Overall Equipment Effectiveness (OEE) dalam Produksi Makanan Berbasis Autonomous Maintenance. Masters thesis, Institut Teknologi Sepuluh Nopember.
![[thumbnail of 6032231238-Master_Thesis.pdf]](http://repository.its.ac.id/style/images/fileicons/text.png) |
Text
6032231238-Master_Thesis.pdf - Accepted Version Restricted to Repository staff only Download (3MB) | Request a copy |
Abstract
Efektivitas operasional menjadi kunci keberhasilan sebuah perusahaan dalam menghadapi pasar yang kompetitif. Namun, perusahaan memiliki berbagai kendala dalam mencapai tingkat efektivitas yang diharapkan, tak terkecuali oleh sebuah perusahaan makanan yang berlokasi di Jawa Barat, Indonesia. Kendala yang dialami yakni tingginya waktu nganggur (downtime) akibat adanya kegagalan peralatan. Autonomous Maintenance (AM) diterapkan sebagai solusi untuk meningkatkan kinerja peralatan produksi dengan melibatkan operator dalam pemeliharaan mandiri. Kombinasi analisis Failure Modes and Effects Analysis (FMEA) dan metode Delphi digunakan untuk mengetahui faktor penyebab kegagalan berdasarkan occurrence (frekuensi kejadian), severity (tingkat keparahan), detection (kemampuan deteksi). Upaya perbaikan dilakukan dengan berfokus pada aspek mesin, manusia, dan metode yang memiliki prioritas tinggi dalam mitigasi risiko. Setelah perbaikan diterapkan, efektivitas operasional diukur menggunakan parameter Overall Equipment Effectiveness (OEE), di mana terjadi peningkatan dari 73,98% di Januari 2025 menjadi 82,44% di Maret 2025, serta stabilisasi OEE pada level 83,29% di bulan berikutnya. Hasil ini menunjukkan bahwa aktivitas AM yang dilakukan tidak hanya berhasil meningkatkan efektivitas operasional tetapi juga mampu mempertahankan tingkat produktivitas dalam jangka waktu yang lebih panjang.
==========================================================================================================================================
Operational effectiveness is a critical factor in ensuring a company’s success within a competitive market. However, various challenges may hinder organizations from achieving the expected level of performance, as exemplified by a food
manufacturing company located in West Java, Indonesia. The key issue faced by this company is a high rate of unplanned downtime due to equipment failures. To address this problem, Autonomous Maintenance (AM) was implemented as a strategic solution to improve production equipment performance by involving operators in routine maintenance activities. A combined analytical approach using Failure Modes and Effects Analysis (FMEA) and the Delphi method was applied to
identify the root causes of failures based on three key criteria: occurrence, severity, and detection capability. Corrective actions were prioritized by focusing on highrisk elements related to machinery, personnel, and operational methods. Following the implementation of these improvements, operational effectiveness was assessed using Overall Equipment Effectiveness (OEE) as a performance metric. The OEE increased from 73.98% in January 2025 to 82.44% in March 2025 and stabilized at 83.29% in the subsequent month. These findings demonstrate that the adoption of AM not only enhanced operational effectiveness but also supported sustained productivity over time.
| Item Type: | Thesis (Masters) |
|---|---|
| Uncontrolled Keywords: | Efektivitas Operasional, Autonomous Maintenance, FMEA, Delphi, OEE Operational Effectivity, Autonomous Maintenance, FMEA, Delphi, OEE |
| Subjects: | 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: | Khafidz Alauddin Farras |
| Date Deposited: | 22 Jul 2025 02:46 |
| Last Modified: | 22 Jul 2025 02:46 |
| URI: | http://repository.its.ac.id/id/eprint/120416 |
Actions (login required)
 |
View Item |