Strategies to Improve Machine Maintenance Effectiveness to Minimize Downtime at PT. MNO, a Tableware Ceramics Manufacturer

Muhammad Nasrulloh; Eri Marlapa

doi:10.55927/fjmr.v5i2.8

Authors

Muhammad Nasrulloh Universitas Mercu Buana
Eri Marlapa Universitas Mercu Buana

DOI:

https://doi.org/10.55927/fjmr.v5i2.8

Keywords:

Downtime, Overall Equipment Effectiveness (OEE), Preventive Maintenance, Root Cause Analysis

Abstract

The objective of this research is to enhance the productivity of PT MNO to reduce the downtime, as it can be done by good machine maintenance strategy. This study is a mixed method research by analyzing data on some machineries with critical conditions of the Kiln and Oven at PT MNO for 2022 - 2024 using Overall Equipment Effectiveness and root cause analysis. The study’s findings reveal a decline in OEE of 42.75% by 2024 due to the “Best tools oldest” affecting availability of spare parts. Strategic improvements with method 5W+1H: are to gain the OEE and bring back to 79% that year. The contribution implication of this research is to provide as a reference stakeholders, PT. MNO, and State-Owned Enterprises to maintain the stable supply of national ceramic product.

References

Ferreira, C., Dias, I. S., Silva, A., de Brito, J., & Flores-Colen, I. (2021). The Impact of Temporary Means of Access on Buildings Envelope’s Maintenance Costs. Buildings, 11(12), 601. https://doi.org/10.3390/buildings11120601

A.Bakri and Mohd. A.-F. Mohd. Szali Januddi (2020). Systematic Industrial Maintenance to Boost the Quality Management Programs, SpringerBriefs in Applied Sciences and Technology, https://doi.org/10.1007/978-3-030-46586-5_1

Al-Duais, F. S., Mohamed, A. B. A., Jawa, T. M., & Sayed-Ahmed, N. (2022). The optimal periods for conducting preventive maintenance aim to reduce expected downtime and improve reliability. Computational Intelligence and Neuroscience, 2022. https://doi.org/10.1155/2022/7105526

Anusha, C., & Umasankar, V. (2020). Performance prediction through the OEE model. International Journal of Industrial Engineering and Management, 11(2), 93–103. https://doi.org/10.24867/IJIEM-2020-2-256

Auda, S., & Suparno, S. (2019). The Analysis of Doosan S500-LCV Excavator Maintenance Planning to Reduce Downtime Using Reliability Centered Maintenance (RCM) Method. IPTEK Journal of Proceedings Series, 0(5). https://doi.org/10.12962/j23546026.y2019i5.6351

Avianto, E. S., & Madelan, S. (2022). Implementation of Reliability-Centered Maintenance Method for Pumps in Fuel Distribution Companies. In UIJRT United International Journal for Research & Technology | (Vol. 03, Issue 11).

Besterfield, D. (2014). Quality Improvement 9th Edition. Pearson Education Limited.

Braaksma, A. J. J., Klingenberg, W., & Veldman, J. (2013). Failure mode and effect analysis in asset maintenance: a multiple case study in the process industry. International Journal of Production Research, 51(4), 1055–1071. https://doi.org/10.1080/00207543.2012.674648

Costa, A. L. B., & Balduino, Â. R. (2018). The Importance of Preventive and Corrective Maintenance in the workplace. International Journal of Advanced Engineering Research and Science, 5(5), 72–76. https://doi.org/10.22161/ijaers.5.5.10

D’Urso, D., Sinatra, A., Compagno, L., & Chiacchio, F. (2022). Assessment of the

optimal preventive maintenance period using stochastic hybrid modeling. Procedia Computer Science, 200, 1664–1673. https://doi.org/10.1016/j.procs.2022.01.367

Dellagi, S., Trabelsi, W., Hajej, Z., & Rezg, N. (2020). The study focuses on managing integrated maintenance and spare parts for manufacturing systems, taking into account the impact of variable production rates on system degradation. Concurrent Engineering Research and Application, 28(1), 72-84. https://doi.org/10.1177/1063293X19898734

Duraccio, V., Forcina, A., Silvestri, A., & Bona, G. Di. (2014). Assessment of the effectiveness of maintenance-oriented design. Internasional Journal of Engineering Business Management, 6(1), 1–7. https://doi.org/10.5772/59021

Er-Ratby, M., & Mabrouki, M. (2018). Optimization of the Maintenance and Productivity of Industrial Organizations. In International Journal of Applied Engineering Research (Vol. 13, Issue 8). http://www.ripublication.com

Gozali, L., Daywin, F. Y., & Doaly, C. O. (2020). The study focuses on Root Cause

Analysis and Overall Equipment Effectiveness of the Press Machine located in Line H and Hirac at PT. XYZ. Jurnal Muara Sains, Teknologi, Kedokteran Dan Ilmu Kesehatan, 4(2), 285. https://doi.org/10.24912/jmstkik.v4i2.8735

Hamasha, M. M., Bani-Irshid, A. H., Al Mashaqbeh, S., Shwaheen, G., Al Qadri, L., Shbool, M., Muathen, D., Ababneh, M., Harfoush, S., Albedoor, Q., & Al-Bashir, A. (2023). The study focuses on the strategic selection of maintenance type in various conditions. Scientific Reports, 13(1). http://dx.doi.org/10.1038/s41598-023-42751-5

Hariadi DP, A., Hartono, S., Nashar, M., Wibowo, W., & Mekaniwati, A. (2022). This study focuses on improving business performance in a rubber-parts factory by implementing a quality management model, specifically through a case study of PT X. Sosiohumaniora, 24(2), 295. https://doi.org/10.24198/sosiohumaniora.v24i2.37240

He, Y.; Gao, Z. Joint Optimization of Preventive Maintenance and Spare Parts Ordering Considering Imperfect Detection. Systems 2023, 11, 445. https://doi.org/10.3390/systems11090445

Heizer, Jay., Render, Barry., Munson, Chuck. (2017). Operations Management, Sustainability and Supply Chain Management. Pearson Education, Inc. ISBN 978-0-13-413042-2 -- ISBN 0-13-413042-1

Jain, A., Bhatti, R., & Singh, H. (2014). Total productive maintenance (TPM) implementation practice: a literature review and directions. International Journal of Lean Six Sigma, 5(3), 293–323. https://doi.org/10.1108/IJLSS-06-2013-0032

Jong-Ho Shin, Hong-Bae Jun. (2015). On condition based maintenance policy. Journal of Computational Design and Engineering, Volume 2, Issue 2, Pages 119-127, ISSN 2288-4300, https://doi.org/10.1016/j.jcde.2014.12.006.

Jurnal Optimasi Sistem Industri, O., Kumala Sari, N., & Soepardi, A. (2018). Penjadwalan Kegiatan Pemeliharaan untuk Memaksimalkan Availabilitas Mesin. In Desember (Vol. 11, Issue 2). http://jurnal.upnyk.ac.id/index.php/opsi

Kurniawan, C., Azwir, H. H., Ki, J., & Dewantara, H. (2018). Penerapan Metode PDCA untuk Menurunkan Tingkat Kerusakan Mesin pada Proses Produksi Penyalutan. In Journal of Industrial Engineering, Scientific Journal on Research and Application of Industrial System (Vol. 3, Issue 2).

Latino et al. (2020). Root Cause Analysis, Improving Performance for Bottom-

Line Results Fifth Edition. CRC Press Taylor & Francis Group. Identifiers: LCCN 2019011900| ISBN 9781138332454 (hardback : acid-free paper) | ISBN 9780429446573 (e-book)

Meli Amelia, & Aspiranti, T. (2021). Analisis Pemeliharaan Mesin Conveyor Menggunakan Metode Preventive dan Breakdown Maintenance untuk Meminimumkan Biaya Pemeliharaan Mesin pada PT X. Jurnal Riset Manajemen Dan Bisnis, 1(1). https://doi.org/10.29313/jrmb.v1i1.32

Mentari, R. A., & Hidayat, T. P. (2021). Analisis Performansi Mesin pada Corrective Maintenance dan Preventive Maintenance dengan Menggunakan Metode Modularity Design.

Ochieng, NT, Wilson, K, Derrick, CJ, Mukherjee, N. The use of focus group discussion methodology: Insights from two decades of application in conservation. Methods Ecol Evol. 2018; 9: 20– 32.

Pardiyono, R., & Suryani, P. (2020). Meningkatkan Keandalan Komponen Mesin dan Minimasi Downtime pada Mesin Picanol GTX Seri 22844. Sistemik : Jurnal Ilmiah Nasional Bidang Ilmu Teknik,8(1). https://sistemik.utbuniv.ac.id/index.php/sistemik/article/view/33

Patil, S. S., Bewoor, A. K., Kumar, R., Ahmadi, M. H., Sharifpur, M., & PraveenKumar, S. (2022). Development of an Optimized Maintenance Program for a Steam Boiler System Using a Reliability-Centered Maintenance Approach. Sustainability (Switzerland), 14(16). https://doi.org/10.3390/su141610073

Pei, Y., Liu, Z., Xu, J., Qi, B., & Cheng, Q. (2023). Grouping Preventive Maintenance Strategy of Flexible Manufacturing Systems and Its Optimization Based on Reliability and Cost. Machines, 11(1). https://doi.org/10.3390/machines11010074

Poór, P., Ženíšek, D., & Basl, J. (2019). Historical Overview of Maintenance Management Strategies: Development from Breakdown Maintenance to Predictive Maintenance in Accordance with Four Industrial Revolutions. Proceedings of the International Conference on Industrial Engineering and Operations Management Pilsen, Czech Republic, July 23-26, 2019

Powell, T., & Sammut-Bonnici, T. (2015). Pareto analysis. In Wiley Encyclopedia

Of Management (pp. 1–2). John Wiley & Sons, Ltd. https://doi.org/10.1002/9781118785317.weom120202

Ravande, Sundeep. “Unplanned Downtime Costs More Than You Think.” Forbes, https://www.forbes.com/councils/forbestechcouncil/2022/02/22/unplanned-downtime-costs-more-than-you-think/. Accessed 28 Apr. 2025.

Relkar, A. S. (2021). Risk Analysis of Equipment Failure through Failure Mode and Effect/ Analysis and Fault Tree Analysis. Journal of Failure Analysis and Prevention, 21(3), 793–805. https://doi.org/10.1007/s11668-021-01117-7

Riddel, R. (2022). Practical Root Cause Failure Analysis, First Edition. CRC Press.

Rizal, Y. S., DP, A. Hariadi., & Riza, Y. S. (2022). The Improvement of Company

Performance through Risk Management Process, Personnel Capability and The Application of TQM (Case Study: Lubricant Manufacturing Company PT X). 3(4). https://doi.org/10.31933/dijemss.v3i4

Roberto, J., Jorge, D.-R., García-Alcaraz, L., & Martínez-Loya, V. (n.d.). Impact Analysis of Total Productive Maintenance Critical Success Factors and Benefits.

Shin, J. H., & Jun, H. B. (2015). On condition based maintenance policy. Journal of Computational Design and Engineering, 2(2), 119–127. https://doi.org/10.1016/j.jcde.2014.12.006

Singh, S., Agrawal, A., Sharma, D., Saini, V., Kumar, A., & Praveenkumar, S. (2022). Implementation of Total Productive Maintenance Approach: Improving Overall Equipment Efficiency of a Metal Industry. Inventions, 7(4). https://doi.org/10.3390/inventions7040119

Stamatis, D.H. Risk Management Using Failure Mode and Effect Analysis (FMEA). ASQ Quality Press Milwaukee, Wisconsin. 2019.

Sugiyono (2022). Metode penelitian Kuantitatif Kualitatif dan R&D. Penerbit Alfabeta, Bandung.

Supriatna, A., Singgih, M. L., Kurniati, N., & Widodo, E. (n.d.). Preventive Maintenance Strategies: Literature Review and Directions.

Syahrullah, Y., Milenia, D., & Izza, R. (2021). Integrasi FMEA dalam Penerapan

Quality Control Circle (QCC) untuk Perbaikan Kualitas Proses Produksi pada Mesin Tenun Rapier (Vol. 6, Issue 2).

Immerman, Graham. “The Actual Cost of Downtime in the Manufacturing Industry.” IIoT World, 14 Nov. 2018, https://www.iiot-world.com/predictive-analytics/predictive-maintenance/the-actual-cost-of-downtime-in-the-manufacturing-industry/.

Tran Anh, D., Dabrowski, K., & Skrzypek, K. (2018). The Predictive Maintenance Concept in the Maintenance Department of the “industry 4.0” Production Enterprise. Foundations of Management, 10(1), 283–292. https://doi.org/10.2478/fman-2018-0022

Viveros, P., Espinoza, M., Mena, R., & Kristjanpoller, F. (2023). Extended Framework for Preventive Maintenance Planning: Risk and Behaviour Analysis of a Proposed Optimization Model. Complexity, 2023. https://doi.org/10.1155/2023/2701439

Wang, N., Ren, S., Liu, Y., Yang, M., Wang, J., & Huisingh, D. (2020). An active preventive maintenance approach of complex equipment based on a novel product-service system operation mode. Journal of Cleaner Production, 277. https://doi.org/10.1016/j.jclepro.2020.123365

F. Setiawan, L. Arifani, M. A. Yulianto, and M. P. Aji, “Analisis Porositas dan Kuat Tekan Campuran Tanah Liat Kaolin dan Kuarsa sebagai Keramik,” J. MIPA, vol. 40, no. 1, pp. 24–27, 2017.