Optimization Machine Maintenance Model With Consider Repair Costs and Number of Repairman at PT. SNP
DOI:
https://doi.org/10.24014/sitekin.v20i1.20980Abstract
To expedite the production process, companies need to make adjustments to technological developments to support company performance. This is done so that the company does not experience problems in the production process. One of the technologies used in manufacturing companies is a machine that can simplify the production process so that companies can optimize time and energy. The machine used must be guaranteed to operate at high performance, so periodic inspections must be carried out. In machine maintenance activities at PT. SNP, not based on damage data as a reference, and in its implementation is still not programmed. In this study, a solution will be sought to overcome the problem of optimal machine scheduling by considering the cost of repairs and number of repairman. The historical data of engine failure will be used to calculate the Mean Time Between Failure (MTBF) and Mean Time to Repair (MTTR) and model the engine maintenance, so that it is expected to be able to reduce repair costs.
References
Y. D. R. Montororing dan M. Widyantoro, “Model Of Inventory Planning Using Monte Carlo Simulation In Retail Supermarket With Consider To Competitors And Stimulus Strategies,” Journal of Applied Engineering and Technological Science, pp. Vol 4(1) 2022 : 342-350, 2022.
Boris, Total Productive Maintenance, United Of America: McGraw Hill Companies,Inc, 2016.
M. Jasiulewicz-Kaczmarek dan K. Antosz, “Industry 4.0 Technologies for Maintenance Management – An Overview,” dalam Industry 4.0 Technologies for Maintenance Management – An Overview, 978-3-031-09381-4, 2023, pp. 68-79.
F. Ansari, “Cost-based text understanding to improve maintenance knowledge intelligence in manufacturing enterprises,” Computers & Industrial Engineering, pp. Volume 141, 106319, 2020.
A. Garg dan S. Deshmukh, “Maintenance management: literature review and directions, Mechanical Engineering Department,” Indian Institute of Technology Delhi, New Delhi, India, 2006.
Ansori dan Mustajib, Sistem perawatan terpadu, Yogyakarta: Graha Ilmu, 2013.
Asyari, Manajemen pemeliharaan mesin, Jakarta: Universitas Darma Persada, 2007.
Ebeling, An introduction to reliability and maintainability engineering, McGraw-Hill Companies.Inc., 1997.
D. Q. Nguyen dan M. Bagajewicz, “Optimization of Preventive Maintenance Scheduling in Processing Plants,” USA, p. 335, 2008.
K. S. Moghaddam dan J. S. Usher, Optimal preventive maintenance and replacement schedules with variable improvement factor, Louisville, Kentucky, USA: Department of Industrial Engineering, University of Louisville, 2010.
Jardine, Maintenance excellent, NewYork: Marcel Dekker Inc, 2001.
Kostas, Operational management, New York: Mc Graw Hill Book Company, 1981.
P. O’Connor, Practical Reliability Engineering, USA: Fourth Edition. John Wiley & Sons, LTD, 2002.
Shirose, TPM Development Program Implementing Total Productive Maintenance, Cambridge: Productivity Press Inc, 2015.
F. N. N. David Kimera, “Predictive maintenance for ballast pumps on ship repair yards via machine learning,” Transportation Engineering, pp. Volume 2, 100020, 2020.
Kurniawan, Manajemen Perawatan Industri: Teknik dan Aplikasi Implementasi Total Productive Maintenance (TPM), Preventive Maintenance dan Reliability Centered Maintenance (RCM), Yogyakarta: Graha Ilmu, 2013.
E. Lewis, Introduction to Reliability Engineering, USA: Second Edition. John Wiley & Sons, LTD, 1994.
M. W. J. K. L. S. P. J. Mingxin Li, “An opportunistic maintenance strategy for offshore wind turbine system considering optimal maintenance intervals of subsystems,” Ocean Engineering, pp. Volume 216, 108067, 2020.
E. I. Basri, R. l. H. Abdul, S. H. Abdul dan S. Kamaruddin, “Preventive Maintenance (PM) planning: a review,” Journal of Quality in Maintenance Engineering, vol. 23, 2017.
Mutiara, Perencanaan Preventive Maintenance Komponen Cane Cutter Dengan pendekatan Age Replacement, Teknik Industri Universitas Brawijaya, 2009.
Nugroho, Perencanaan Penjadwalan Preventive Maintenance Pada Mesin Milling Dengan Metode Reliability, Jakarta: Departemen Teknik Industri. Fakultas Teknik Universitas Indonesia, 2013.
S. R. Simard, M. Gamache dan P. Doyon-Poulin, “Current Practices for Preventive Maintenance and Expectations for Predictive Maintenance in East-Canadian Mines,” Mining Journal, vol. 3, 2023.
L. Costa dan C. Cavalcante, “A Review On The Study of Maintenance Effectiveness,” Pesquisa Operacional, vol. 42, 2022.
X. Zhang, H. Jiang, B. Zheng, Z. Li dan H. Gao, “Optimal maintenance period and maintenance sequence planning under imperfect maintenance,” Quality and Reliability Engineering International, no. 10.1002/qre.3192, 2022.
P. Setya dan B. Putra, “Analysis Of Machine Maintenance Using Markov Chain Method For Reducing Maintenance Cost,” Procedia of Engineering and Life Science, vol. 3, 2022.
N. Igbokwe dan C. Harold, “Cost Effective Maintenance and Machine Reliability for Food Manufacturing Industries using Optimal Maintenance Strategy,” Archives of Current Research International, vol. 22, pp. 27-34, 2022.
Y. Momoya, “Track Technology for Reducing Maintenance Cost and Labor,” Quarterly Report of RTRI, vol. 63, pp. 229-233, 2022.
S. Pawaskar, A. Jedhe, J. Ashtaputre, P. Mehta dan R. Kulkarni, “Predicting Car Maintenance Costs using Artificial Intelligence,” CARIFY , vol. 9, 2022.
S. de Geus-Moussault, J. Pruyn, E. Voort dan G. IJserloo, “Modelling Maintenance - Cost Optimised Maintenance in Shipping,” dalam HIPER 2020, Italy, 2020.
C. Zhang, Y. Zhang, H. Dui, S. P. Wang dan M. Tomovic, “Importance measure-based maintenance strategy considering maintenance costs,” Eksploatacja i Niezawodnosc - Maintenance and Reliability, vol. 24, pp. 15-24, 2021.
Downloads
Published
Issue
Section
License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License
Copyright Notice
An author who publishes in the SITEKIN Journal agrees to the following terms:
- Author retains the copyright and grants the journal the right of first publication of the work simultaneously licensed under the Creative Commons Attribution-ShareAlike 4.0 License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal
- Author is able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book) with the acknowledgement of its initial publication in this journal.
- Author is permitted and encouraged to post his/her work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of the published work (See The Effect of Open Access).
Read more about the Creative Commons Attribution-ShareAlike 4.0 Licence here: https://creativecommons.org/licenses/by-sa/4.0/.
