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All issues Volume 344 (2025) EPJ Web Conf., 344 (2025) 01040 References
Open Access
Issue
EPJ Web Conf.
Volume 344, 2025
AI-Integrated Physics, Technology, and Engineering Conference (AIPTEC 2025)
Article Number 01040
Number of page(s) 8
Section AI-Integrated Physics, Technology, and Engineering
DOI https://doi.org/10.1051/epjconf/202534401040
Published online 22 December 2025
  1. Z. Wang, S. Li, R. Tang, Physics-based remaining useful life prediction of rotating machinery using deep neural networks. Mechanical Systems and Signal Processing. 138, 106623 (2020). [Google Scholar]
  2. S. Guo, Y. Zhang, F. Tao, Identifying manufacturing operational conditions by physics-based modelling of tool wear and process degradation. Journal of Manufacturing Systems. 60, 122–133 (2021). https://doi.org/10.1016/j.jmsy.2021.05.005 [Google Scholar]
  3. A. Tayal, V. Kumar, P. Singh, Effectiveness improvement in manufacturing industry through OEE analysis: A small-scale enterprise case. Procedia CIRP. 100, 123–129 (2021). [Google Scholar]
  4. T. Facchinetti, G. Citterio, Application of the Overall Equipment Effectiveness to a service company. IEEE Access. 10, 106613–106640 (2022). https://doi.org/10.1109/ACCESS.2022.3211266 [Google Scholar]
  5. R. I. D. Suyatmo, E. Melyna, H. Arina, Six Big Losses analysis in Total Productive Maintenance implementation. Journal of Industrial Engineering and Innovation. 4, 2, 101–110 (2023). [Google Scholar]
  6. E. Y. Salawu, O. Awoyemi, S. Lawal, Impact of maintenance on machine reliability: A review. E3S Web of Conferences. 430, 01020 (2023). https://doi.org/10.1051/e3sconf/202343001226 [Google Scholar]
  7. R. Singh, R. Yadav, A. Tripathi, Improving Overall Equipment Effectiveness through hybrid preventive maintenance strategies. Procedia CIRP, 126, 987–993 (2024). [Google Scholar]
  8. Y. Bai, J. Zhou, Z. Chen, Thermo-mechanical behavior and predictive wear modeling for rotating machinery. Mechanical Systems and Signal Processing. 147, 107076 (2021). [Google Scholar]
  9. J. Han, K. Kim, Y. Park, Heat and vibration-based failure prediction for high-speed machining centers. Journal of Manufacturing Processes. 84, 235–247 (2022). [Google Scholar]
  10. S. Adams, R. Reuben, A. Samuel, The WEAR methodology for prognostics and health management in manufacturing. Reliability Engineering & System Safety. 157, 49–60 (2017). https://doi.org/10.1016/j.ress.2017.03.021 [Google Scholar]
  11. A. T. Oyewo, S. Olajire, S. S. Onawumi, Life cycle cost analysis of maintenance approaches for high- wear components in PVC pipe extruders: A systematic review. BENR Journal. 5, 1, 1–12 (2025). https://doi.org/10.31603/benr.v5i01.13387 [Google Scholar]
  12. P. Zhou, X. Lu, H. Wei, Optimizing preventive maintenance policies using machine physics and data-driven reliability models. Reliability Engineering & System Safety. 234, 109141 (2023). [Google Scholar]
  13. H. Huang, S. Zheng, Physics-based predictive maintenance model using thermodynamic degradation analysis. Engineering Failure Analysis. 120, 105024 (2021). [Google Scholar]
  14. Kumar, C. Y. Lee, Vibration analytics for predictive maintenance in precision machinery. Procedia CIRP. 120, 118–125 (2023). https://doi.org/10.1016/j.procir.2023.06.053 [Google Scholar]
  15. L. Zhang, F. Tao, Digital twin-driven smart manufacturing: Physical modeling for predictive maintenance. Advanced Engineering Informatics. 45, 101123 (2020). [Google Scholar]
  16. R. Indriartiningtias, U. F. Ibrahim, I. D. Anna. Preventive Maintenance Policy to Improve the Effectiveness of XYZ Machine. E3S Web of Conferences, 517(2024). https://doi.org/10.1051/e3sconf/202451705025 [Google Scholar]
  17. L. P. Herdanarpati, F. Achmadi, Analisa Perbaikan Produktivitas Unit Mesin Bor Explorasi Dengan Metode Total Productive Maintenance (Studi Kasus Departemen Geologi & Development PT.XYZ). Prosiding SENASTITAN: Seminar Nasional Teknologi Industri Berkelanjutan, 2, 52-60 (2022). https://ejurnal.itats.ac.id/senastitan/article/view/2561 [Google Scholar]
  18. Z. Sabaya, T. Lasalewo, S. Junus, Efektivitas Alat Angkut Fixed Crane Menggunakan Metode Overall Equipment Effectiveness (OEE) Di PT. Pelindo (Persero) Region Iv Gorontalo. Jurnal Vokasi Sains Dan Teknologi. 2, 2, 64–73 (2023). https://doi.org/10.56190/jvst.v2i2.36 [Google Scholar]
  19. T. Facchinetti, G. Citterio, Application of the Overall Equipment Effectiveness to a Service Company. IEEE Access. 10, 106613–106640 (2022). https://doi.org/10.1109/ACCESS.2022.3211266 [Google Scholar]
  20. R. I. D. Suyatmo, E. Melyna, H. Arina, A. O. Shelia, Sosialisasi Hasil Analisis Overall Equipment Effectiveness (OEE) dan Six Big Losses Dalam Implementasi Total Productive Maintenance (TPM) Di PT ABC. Pengabdian Masyarakat Bangsa. 1, 10, 2507–2515 (2023). https://doi.org/10.59837/jpmba.v1i10.542 [Google Scholar]
  21. Y. Wijaya, L. P. S. Hartanti, J. Mulyono, Pengukuran Kinerja Mesin Cetak Menggunakan Metode Overall Equipment Effectiveness Untuk Mengurangi Six Big Losses. Jurnal Tekno Insentif. 16, 1, 38–53 (2022). https://doi.org/10.36787/jti.v16i1.578 [Google Scholar]
  22. F. M. Taufik, G. N. Puri, M. Meidina, R. M. Zidan, Analisa Pengukuran Efektivitas Mesin Pada Proses Filling Menggunakan Metode Overall Equipment Efectiveness (OEE) & Six Big Losses Di PT Sanbe Farma Bandung. Jurnal Bayesian: Jurnal Ilmiah Statistika Dan Ekonometrika, 3, 1 (2023). https://doi.org/10.46306/bay.v3i1 [Google Scholar]
  23. T. Ahdiyat, Y. A. Nugroho, Analisis Kinerja Mesin Bandsaw Menggunakan Metode Overall Equipment Effectiveness (OEE) Dan Six Big Losses Pada Pt Quartindo Sejati Furnitama. JCI Jurnal Cakrawala Ilmiah. 2, 1 (2022). https://doi.org/10.53625/jcijurnalcakrawalailmiah.v2 i1.3509 [Google Scholar]
  24. S. Zulaykha, B. F. Endrawati, A. I. Ismail, Analisis Pengukuran Kinerja Mesin Cetak Menggunakan Overall Equipment Effectiveness (OEE) Di CV Delimas. SPECTA Journal of Technology, 8, 2, 126–133 (2024). https://doi.org/10.35718/specta.v8i2.1190 [Google Scholar]
  25. E. Eddy, C. Chairunissa. Peningkatan Overall Equipment Effectiveness (OEE) Pada Mesin Molding Melalui Perbaikan Six Big Losses Di PT. CWI. Jurnal Optimalisasi. 7, 1, 100–108 (2021). https://doi.org/10.35308/jopt.v7i1.2537 [Google Scholar]
  26. Z. Arfan, D. D. Damayanti, H. Rachmat, 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 (2025). [Google Scholar]
  27. N. B. Azizah, S. Indriati, R. Widuri, I. Shaferi, Analisis Repair Maintenance Policy Dan Preventive Maintenance Policy Untuk Meminimalkan Total Maintenance Cost Pada Mesin Pleating PT Duta Nichirindo Pratama. Bisnis dan Akuntansi (JEBA), 22(2020). https://doi.org/10.32424/jeba.v22i4.1765 [Google Scholar]
  28. E. Tammya, D. Herwanto, Analisis Efektivitas Mesin Debarker Dengan Menggunakan Metode Overall Equipment Effectiveness (OEE) Di PT. XYZ Kuningan, Jawa Barat. Sains, Teknologi Dan Industri. 19, 1, 20–27 (2021). https://doi.org/10.36275/stsp.v20i1.224 [Google Scholar]
  29. M. A. Pradaka, J. A. Szs, Analisis Total Productive Maintenance Menggunakan Metode OEE dan FMEA pada Pabrik Phosporic Acid PT Petrokimia Gresik. Jurnal Teknik Industri, 11, 3, 280–289 (2021). https://doi.org/10.25105/jti.v11i3.13087 [Google Scholar]
  30. H. Ariyah, View of Penerapan Metode Overall Equipment Effectiveness (OEE) Dalam Peningkatan Efisiensi Mesin Batching Plant (Studi Kasus _ PT. Lutvindo Wijaya Perkasa). Jurnal Teknologi Dan Manajemen Industri Terapan. 1, 2, 70–77 (2022). https://doi.org/10.55826/tmit.v1iII.10 [Google Scholar]
  31. R. E. S. Bagus, J. Hildayanti, Y. Prastyo, Analisis Efektivitas pada Mesin Injection Moulding Model SUMITOMO SE50EV-A dengan Metode OEE dan FMEA di PT. XYZ. Journal of Technology and Engineering. 3, 1, 42–53 (2025). https://doi.org/10.59613/journaloftechnologyandeng ineering.v3i1.192 [Google Scholar]
  32. H. Fauzi, J. Alhilman, F. D. A. Tatas, Analisis Penerapan Overall Equipment Effectiveness (OEE) Dan Overall Resource Effectiveness (ORE) Dalam Mengevaluasi Efektivitas Mesin Cnc Millac Di Pt Dirgantara Indonesia Analysis Of Overall Equipment Effectiveness (OEE) And Overall Equipment Resource Effectiveness (ORE) In Evaluating The Effectiveness Of Cnc Millac Machines At PT Dirgantara Indonesia. EProceedings of Engineering. 8, 2, 2107–2114 (2021). [Google Scholar]
  33. S. Nakajima, Introduction to TPM: Total Productive Maintenance(berilustrasi). Productivity Press. (1988). https://books.google.co.id/books/about/Introduction_to_TPM.html?hl=id&id=XKc28H3JeUUC&redir_esc=y [Google Scholar]
  34. R. I. D. Suyatmo, E. Melyna, H. Arina, A. O. Shelia, Sosialisasi Hasil Analisis Overall Equipment Effectiveness (OEE) dan Six Big Losses Dalam Implementasi Total Productive Maintenance (TPM) Di PT ABC. Pengabdian Masyarakat Bangsa. 1, 10, 2507–2515 (2023). https://doi.org/10.59837/jpmba.v1i10.542 [Google Scholar]
  35. R. Fitriyani, Teknik Mekanik Mesin Industri SMK/MAK Kelas XII. Gramedia Widiasarana indonesia. (2021). https://doi.org/10.59837/jpmba.v1i10.542 [Google Scholar]
  36. D. Antasari, A. Arvianto, Analisis Repair Policy dan Preventive Maintenance Policy untuk Mengetahui Biaya yang Optimal pada Mesin Pompa PT. PERTAMINA TBBM SEMARANG GROUP. Proceedings 1st Annual Conference in Industrial and System Engineering (ACISE). (2019). https://ejournal3.undip.ac.id/index.php/ieoj/article/vi ew/23058 [Google Scholar]
  37. I. Sodikin, C. I. Parwati, F. Fayzi, M. Indrayana, Penjadwalan Perawatan Mesin Dengan Metode Preventive Maintenance & Predictive Maintenance (Studi Kasus Di PLTD Kota Masohi. Jurnal Tekstil: Jurnal Keilmuan Dan Aplikasi Bidang Tekstil Dan Manajemen Industri. 7, 1, 37-46 (2024). https://doi.org/10.59432/jute.v7i1.88 [Google Scholar]

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