Analysis of Extrusion Blow Molding Machine Maintenance Planning with Reliability Centered Maintenance and IRRO Method
DOI:
https://doi.org/10.32734/jsti.v26i2.16895Keywords:
Extrusion Blow Molding, IRRO, Machine Maintenance, Plastic, Reliability Centered MaintenanceAbstract
High demand for plastic products from year to year creates the need for plastic molding machines that can mass produce plastic products. An example of a plastic molding machine used at PT. X is a VK type extrusion blow molding (EBM) machine. Based on data from PT. X, the downtime of the VK type EBM machine reached 215.74 hours in 2021-2023. Therefore, improvements are needed in the machine maintenance management system. The purpose of this research is to determine the critical components, determine the reliability value of the critical components, and also establish a preventive maintenance schedule along with a cost budget plan for each critical component of the VK type extrusion blow molding machine at PT. X to increase the effectiveness of existing production activities. The method used is Reliability Centered Maintenance (RCM) with the application of RCA and FMEA methods to find critical components, then calculate the reliability of critical components as a reference for making preventive maintenance schedules. The data used are the failure data of VK type EBM machine in 2021-2023 period. The results of this study obtained 4 critical components with a reliability value of 0.5, namely the clamping unit at 210.3149 hours, the cutting unit at 79.9911 hours, the head unit at 677.5324 hours, and the hydraulic unit at 424.1550 hours. Maintenance planning is based on the IRRO (Inspection, Repair, Replace, Overhaul) method. The total maintenance cost for the period 2025 is Rp 35,093,903, which reduces the cost by 8.5% compared to 2023.
Downloads
References
Plastics Europe, “Plastics Europe Association of Plastics Manufacturers Plastics—The Facts 2021 An analysis of European Plastics Production, Demand and Waste Data,” Plastics - the Facts 2021, p. 34, 2021, [Online]. Available: https://plasticseurope.org/knowledge-hub/plastics-the-facts-2021/
I. Tiseo, “Annual production of plastics worldwide from 1950 to 2020,” Statista.
C. L. Xiao, C. Hopmann, and C. E. Kahve, “Development of variotherm extrusion blow molding technology to produce high-gloss automotive spoilers,” Journal of Polymer Engineering, vol. 43, no. 5, 2023, doi: 10.1515/polyeng-2023-0002.
T. P. Kana, H. D. Rahmayanti, and H. Didik, “STUDY OF DEFECT ON 180 ML HDPE BOTTLES YOGURT PRODUCTS WITH SMC B11 EXTRUSION BLOW MACHINE AT PT X,” KREATOR, vol. 4, no. 1, 2021, doi: 10.46961/kreator.v4i1.306.
Ph. D. Hadi, Syamsul, Ir., M.T., Perawatan dan Perbaikan Mesin Industri, no. December. 2019.
M. Nasution, A. Bakhori, and W. Novarika, “MANFAAT PERLUNYA MANAJEMEN PERAWATAN UNTUK BENGKEL MAUPUN INDUSTRI,” Buletin Utama Teknik, vol. 3814, 2021.
M. R. Abidin, S. S. Dahda, and D. Andesta, “PERENCANAAN PENJADWALAN PERAWATAN MESIN WHEEL LOADER DENGAN PENDEKATAN RELIABILITY CENTERED MAINTENANCE DI PT. SWADAYA GRAHA,” JUSTI (Jurnal Sistem dan Teknik Industri), vol. 2, no. 1, 2021, doi: 10.30587/justicb.v2i1.3221.
S. Hadi, A. Al Azis, V. Viyus, E. Puspitasari, A. H. Firdaus, and A. Setiawan, “PLANNING FOR MAINTENANCE AND REPAIR OF CONTINUOUS SHIP UNLOADER USING THE IRRO METHOD,” 2021. [Online]. Available: http://ojs.pnb.ac.id/index.php/LOGIC
M. Ben-Daya, S. O. Duffuaa, J. Knezevic, D. Ait-Kadi, and A. Raouf, Handbook of maintenance management and engineering. 2009. doi: 10.1007/978-1-84882-472-0.
H. Rachman, A. K. Garside, and H. M. Kholik, “Usulan Perawatan Sistem Boiler dengan Metode Reliability Centered Maintenance (RCM),” Jurnal Teknik Industri, vol. 18, no. 1, 2017, doi: 10.22219/jtiumm.vol18.no1.86-93.
H. Opocenska and M. Hammer, “Reliability centred maintenance,” MM Science Journal, vol. 2016, no. NOVEMBER, 2016, doi: 10.17973/MMSJ.2016_11_2016161.
R. Saputra and D. T. Santoso, “ANALISIS KEGAGALAN PROSES PRODUKSI PLASTIK PADA MESIN CUTTING DI PT. FKP DENGAN PENDEKATAN FAILURE MODE AND EFFECT ANALYSIS DAN DIAGRAM PARETO,” Barometer, vol. 6, no. 1, 2021, doi: 10.35261/barometer.v6i1.4516.
Y. Liu, W. Yu, W. Rahayu, and T. Dillon, “An Evaluative Study on IoT Ecosystem for Smart Predictive Maintenance (IoT-SPM) in Manufacturing: Multiview Requirements and Data Quality,” IEEE Internet Things J, vol. 10, no. 13, 2023, doi: 10.1109/JIOT.2023.3246100.
E. T. Bekar, P. Nyqvist, and A. Skoogh, “An intelligent approach for data pre-processing and analysis in predictive maintenance with an industrial case study,” Advances in Mechanical Engineering, vol. 12, no. 5, 2020, doi: 10.1177/1687814020919207.
M. A. Latino, R. J. Latino, and K. C. Latino, Root cause analysis: Improving performance for bottom-line results. 2019. doi: 10.1201/9780429446573.
N. Siswantoro et al., “The Maintenance Task Allocation Analysis in Steam Power Plant: Case Study on Closed Cooling Water System,” in IOP Conference Series: Earth and Environmental Science, 2022. doi: 10.1088/1755-1315/972/1/012031.
D. H. Stamatis, The ASQ Pocket Guide to Failure Mode and Effect Analysis ( FMEA ). 2015.
N. D. A. Asmoro and W. Widiasih, “Analisis Keandalan Mesin untuk Meningkatkan Kinerja pada Mesin Extruder di PT. Rapindo Plastama,” Journal of Industrial View, vol. 4, no. 2, 2022, doi: 10.26905/jiv.v4i2.8014.
Published
How to Cite
Issue
Section
Copyright (c) 2024 TALENTA Publisher Universitas Sumatera Utara
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
The Authors submitting a manuscript do so on the understanding that if accepted for publication, the copyright of the article shall be assigned to TALENTA Publisher Universitas Sumatera Utara as the publisher of the journal.
Copyright encompasses the rights to reproduce and deliver the article in all forms and media. The reproduction of any part of this journal, its storage in databases, and its transmission by any form or medium will be allowed.
