Preventive Maintenance Strategies to Increase Industrial Machine Life
DOI:
https://doi.org/10.62872/tg323p32Keywords:
Machine Reliability, Preventive Maintenance, Industry 4.0 TechnologyAbstract
In modern industries that increasingly rely on machines and automation systems, efficient maintenance is key to maintaining production continuity and avoiding losses due to unscheduled downtime. Preventive maintenance has emerged as a more effective solution compared to the corrective maintenance approach, which is reactive. This study discusses the urgency of implementing preventive maintenance in improving machine reliability, extending equipment life, and reducing long-term costs. The use of advanced technologies such as the Internet of Things (IoT), Computerized Maintenance Management Systems (CMMS), and predictive analytics can optimize preventive maintenance by detecting potential failures early, thereby minimizing downtime by up to 50%. However, the effectiveness of this strategy is highly dependent on the readiness of the digital infrastructure and the competence of the human resources (HR) who manage the technology. Without the integration of historical data, real-time monitoring systems, and adequate training, the implementation of preventive maintenance is at risk of being less than optimal. Therefore, the development of a technology-based preventive maintenance strategy must be accompanied by increased technical and managerial capacity, as well as organizational readiness to adapt to digital change. This research shows that a structured, data-driven preventive approach can support operational efficiency, strengthen competitiveness, and support industry sustainability.
Downloads
References
Amanda, R., Putri, S. A., Arifan, Y. N. M., Hidayat, R., & Ikaningtyas, M. (2024). Optimalisasi Proses Operasional dengan Menggabungkan Teknologi IoT dan Big Data: Studi Kasus pada PT Pertamina dalam Industri Minyak dan Gas Operational Process Optimization by Combining IoT and Big Data Technology: A Case Study on PT Pertamina in the Oil. Economics And Business Management Journal (EBMJ), 3(01), 93-102.
Arfan, Z., Damayanti, D. D., & Rachmat, H. (2025). Meminimalkan Total Maintenance Cost Pada Mesin Injection Molding Sendok Takar Obat Cv Xyz Menggunakan Analisis Repair Policy Dan Preventive Maintenance Policy. eProceedings of Engineering, 12(1).
Arifin, B., Handayani, E. S., Yunaspi, D., Erda, R., & Dhaniswara, E. (2023). Transformasi Bahan Ajar Pendidikan Dasar Ke Arah Digital: Optimalisasi Pembelajaran Pendidikan Sekolah Dasar Di Era Teknologi Cybernetics. Innovative: Journal Of Social Science Research, 3(5), 1-10.
Aryza, S., & Novelan, M. S. (2025). Mekatronika: Integrasi, Kontrol dan Sistem. Serasi Media Teknologi.
Baru, J., Sabirin, S., Adhim, F., Saputra, R., & Siregar, B. H. (2024). ANALISIS PEMBELAJARAN SMK N 1 CILEGON YANG DIARAHKAN UNTUK MEMPERSIAPKAN PESERTA DIDIK MEMASUKI LAPANGAN PEKERJAAN: STUDI KASUS. Jurnal Pendidikan Ilmiah Transformatif, 8(12).
Bokrantz, J., Skoogh, A., Berlin, C., Wuest, T., & Stahre, J. (2020). Smart Maintenance: a research agenda for industrial maintenance management. International journal of production economics, 224, 107547.
Defriyanti, A., & Ernawati, D. (2021). Analisis dan Mitigasi Risiko Pada Supply Chain dengan Pendekatan Metode House Of Risk (HOR) di PT. XYZ. JUMINTEN, 2(6), 36-47.
Harianja, R., Tarigan, A. S. P., & Anisah, S. (2025). Pengaruh Pemeliharaan Predictive Maintenance Terhadap Kinerja Sistem Distribusi di Wilayah Rawan Gangguan. Jurnal Indragiri Penelitian Multidisiplin, 5(2), 54-62.
Herwantono, H., & Nugraha, E. H. (2022). Pengelolaan Dan Pengembangan Sumber Daya Manusia Pada Pt. Pelindo Marine Service. Jurnal Investasi, 8(1), 70-79.
Judijanto, L., Setiawan, Z., Wiliyanti, V., Gunawan, P. W., Suryawan, I. G. T., Mardiana, S., ... & Joni, I. D. M. A. B. (2024). Literasi Digital di Era Society 5.0: Panduan Cerdas Menghadapi Transformasi Digital. PT. Sonpedia Publishing Indonesia.
Lubis, M. A. (2017). Pengaruh Penerapan Sistem Informasi Pemeliharaan Peralatan Dan Mesin Kantor Pada Efisiensi. Jurnal Edik Informatika Penelitian Bidang Komputer Sains dan Pendidikan Informatika, 3(1), 8-17.
Manalu, I. (2020). Analisais Pelaksanaan Pemeliharaan Mesin Guna Meningkatkan Efisiensi Biaya Pemeliharaan Mesin Extruder Pada PT. Elang Perdana Tyre Industry (Doctoral dissertation, Fakultas Ekonomi Dan Bisnis Universitas Pakuan).
Markulik, S., Turisova, R., Nagyova, A., Vilinsky, T., Kozel, R., & Vaskovicova, K. (2021). Production process optimization by reducing downtime and minimization of costs. In Advances in Physical, Social & Occupational Ergonomics: Proceedings of the AHFE 2021 Virtual Conferences on Physical Ergonomics and Human Factors, Social & Occupational Ergonomics, and Cross-Cultural Decision Making, July 25-29, 2021, USA (pp. 220-227). Springer International Publishing.
Mursidi, M., & Sarjito, A. (2025). Implementation Strategy of Ship Engine Maintenance Management System to Improve Operational Efficiency. Jurnal Aplikasi Pelayaran dan Kepelabuhanan, 15(2), 201-214.
Romadhon, M. A. (2024). Strategi Operasional dan Pemeliharaan Preventif untuk Meningkatkan Keandalan dan Kinerja Alat Rubber Tyred Gantry (RTG) di Pelabuhan. Jurnal Ilmiah Wahana Pendidikan, 10(24), 206-211.
Sembiring, N., & Elvira, G. A. (2018, December). Perancangan Jadwal Perawatan Mesin Menggunakan Pendekatan Reliability Centered Maintenance (RCM) pada PT. XYZ. In Talenta Conference Series: Energy and Engineering (EE) (Vol. 1, No. 2, pp. 211-216).
Situngkir, D. I. (2019). Pengaplikasian FMEA untuk mendukung pemilihan strategi pemeliharaan pada paper machine. FLYWHEEL: Jurnal Teknik Mesin Untirta, 1(1), 39-43.
Sopianti, Y. (2020). USULAN PERENCANAAN PERAWATAN MESIN CAKE BREAKER CONVEYOR (CBC) MENGGUNAKAN METODE RELIABILITY CENTERED MAINTENANCE (RCM) DI PT. X (Doctoral dissertation, Universitas Islam Negeri Sultan Syarif Kasim Riau).
UTOMO, B. (2018). Analisis Pengendalian Downtime Proses Produksi Pada Unit NPK Granulasi I Dengan Menggunakan Konsep Plan, DO, Check, Action (PDCA) di PT Petrokimia Gresik (Doctoral dissertation, Universitas Muhammadiyah Gresik).
Yaqin, R. I., Zamri, Z. Z., Siahaan, J. P., Priharanto, Y. E., Alirejo, M. S., & Umar, M. L. (2020). Pendekatan FMEA dalam Analisa Risiko Perawatan Sistem Bahan Bakar Mesin Induk: Studi Kasus di KM. Sidomulyo. Jurnal Rekayasa Sistem Industri, 9(3), 189-200.
Zaenudin, I., & Riyan, A. B. (2024). Perkembangan Kecerdasan Buatan (AI) Dan Dampaknya Pada Dunia Teknologi. Jurnal Informatika Utama, 2(2), 128-153..
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Amalia Tasya, Muhammad Suprapto (Author)
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
