OPTIMIZATION MAINTENANCE PERFORMANCE LEVEL THROUGH COLLABORATION OF OVERALL EQUIPMENT EFFECTIVENESS AND MACHINE RELIABILITY
Abstract
Maintenance performance level (MPL) is an important part of the key performance indicator (KPI) to improve the effectiveness of machine maintenance which includes factors of overall equipment effectiveness-machine effectiveness (OEE-ME) and machine reliability (MR). The purpose of this paper is to optimize the value of the maintenance performance level (MPL) through the collaboration of overall equipment effectiveness-machine effectiveness (OEE-ME) and machine reliability (MR). The study began with collecting research data, namely machine operation, preventive maintenance, and corrective maintenance. The data is processed using the Pareto principle to determine the critical system based on failure frequency. The selected critical system is tested for probability distribution and machine reliability (MR) assessment with several predetermined maintenance time interval scenarios. The main result of this research is the optimal maintenance time interval is a better criterion than other criteria. The optimal maintenance time interval was chosen because it can meet the requirements of overall equipment effectiveness-machine effectiveness (OEE-ME) at a world-class maintenance performance level (MPL) with a value of 90.43%, and the proposed machine reliability (MR) is better than the initial machine reliability (MR) based on the failure ratio value. Therefore, it can be boldly stated that the collaboration of overall equipment effectiveness-machine effectiveness (OEE-ME) and machine reliability (MR) can influence and optimize the value of maintenance performance level (MPL), which has a strong correlation and significant impact.
References
Bulut, M., Özcan, E. (2021). A new approach to determine maintenance periods of the most critical hydroelectric power plant equipment. Reliability Engineering & System Safety, vol. 205, 1-16,DOI: 10.1016/j.ress.2020.107238.
Karevan, A., Tee, K. F., Vasili, M. (2020). A reliability-based and sustainability-informed maintenance optimization considering risk attitudes for telecommunications equipment. International Journal of Quality & Reliability Management, vol. 38, no. 4, 873-891,DOI: 10.1108/IJQRM-04-2020-0114.
Wakiru, J.M., Pintelon, L., Muchiri, P., Chemweno, P. (2020). Integrated maintenance policies for performance improvement of a multi-unit repairable, one product manufacturing system. Production Planning & Control, 1-21,DOI: 10.1080/09537287.2020.1736684.
Farahani, A., Tohidi, H., Shoja, A. (2020). Optimization of overall equipment effectiveness with integrated modeling of maintenance and quality. Engineering Letters, vol. 28, no. 2, 400–405.
Turan, H.H., Atmis, M., Kosanoglu, F., Elsawah, S., Ryan, M.J. (2020). A risk-averse simulation-based approach for a joint optimization of workforce capacity, spare part stocks and scheduling priorities in maintenance planning. Reliability Engineering & System Safety, vol. 204, 1-19, DOI: 10.1016/j.ress.2020.107199.
Zhang, F., Shen, J., Liao, H., Ma, Y. (2021). Optimal preventive maintenance policy for a system subject to two-phase imperfect inspections. Reliability Engineering & System Safety, vol. 205, 1-12,DOI: 10.1016/j.ress.2020.107254.
Samatemba, B., Zhang, L., Besa, B. (2020). Evaluating and optimizing the effectiveness of mining equipment; the case of Chibuluma South underground mine. Journal of Cleaner Production, vol. 252, 1-15, DOI: 10.1016/j.jclepro.2019.119697.
Samat, H.A., Kamaruddin, S., Azid, I.A. (2012), Integration of overall equipment effectiveness (OEE) and reliability method for measuring machine effectiveness. South African Journal of Industrial Engineering, vol. 23, 92–113, DOI: 10.7166/23-1-222.
Tsarouhas, P. (2019). Improving operation of the croissant production line through overall equipment effectiveness (OEE): A case study. International Journal of Productivity and Performance Management, vol. 68, no. 1, 88–108, DOI: 10.1108/IJPPM-02-2018-0060.
Tsarouhas, P.H. (2019). Overall equipment effectiveness (OEE) evaluation for an automated ice cream production line: A case study. International Journal of Productivity and Performance Management, vol. 69, no. 5, 1009–1032, DOI: 10.1108/IJPPM-03-2019-0126
Tsarouhas, P.H. (2013). Evaluation of overall equipment effectiveness in the beverage industry: A case study. International Journal of Production Research, vol. 51, no. 2, 515–523, DOI: 10.1080/00207543.2011.653014.
Afefy, I.H. (2013). Implementation of total productive maintenance and overall equipment effectiveness evaluation. International Journal of Mechanical and Mechatronics Engineering, vol. 13, no. 1, 69–75.
Cheah, C.K., Prakash, J., Ong, K.S. (2020). An integrated OEE framework for structured productivity improvement in a semiconductor manufacturing facility. International Journal of Productivity and Performance Management, vol. 69, no. 5, 1081–1105, DOI: 10.1108/IJPPM-04-2019-0176.
Jaqin, C., Rozak, A., and Purba, H.H. (2020). Case Study in Increasing Overall Equipment Effectiveness on Progressive Press Machine Using Plan-do-check-act Cycle. International Journal of Engineering, Transactions B: Applications, vol. 33, no. 11, 2245–2251, DOI: 10.5829/ije.2020.33.11b.16.
Tayal, A., Kalsi, N.S., Gupta, M.K., Pimenov, D.Y., Sarikaya, M., Pruncu, C.I. (2021). Effectiveness improvement in manufacturing industry; trilogy study and open innovation dynamics. Journal of Open Innovation: Technology, Market, and Complexity, vol. 7, no. 1, 1-21,DOI: 10.3390/joitmc7010007.
Chikwendu, O.C., Chima, A.S., Edith, M.C. (2020). The optimization of overall equipment effectiveness factors in a pharmaceutical company. Heliyon, vol. 6, no. 4, 1-9, DOI: 10.1016/j.heliyon.2020.e03796.
Nerito, P., Sunardhi, B.S., Yustiawan, T. (2020). Overall equipment effectivenes (Oee) to determine the effectiveness of dental chair unit in mother and child hospital at Surabaya. Medico Legal Update, vol. 20, no. 2, 683–686, DOI: 10.37506/mlu.v20i2.1192.
En-Nhaili, A., Meddaoui, A., Bouami, D. (2016). Effectiveness improvement approach basing on OEE and lean maintenance tools. International Journal of Process Management and Benchmarking, vol. 6, no. 2, 147–169, DOI: 10.1504/IJPMB.2016.075599.
Puvanasvaran, A.P., Yoong, S.S., Tay, C.C. (2019). New Overall Equipment Effectiveness framework development with integration of Maynard Operation Sequence Technique. ARPN Journal of Engineering and Applied Sciences, vol. 14, no. 20, 3600–3608.
Pazireh, E., Sadeghi, A.H., Shokohyar, S. (2017). Analyzing the enhancement of production efficiency using FMEA through simulation-based optimization technique: A case study in apparel manufacturing. Cogent Engineering, vol. 4, no. 1, 1–12, DOI: 10.1080/23311916.2017.1284373.
Kang, J., Sun, L., Sun, H., Wu, C. (2017). Risk assessment of floating offshore wind turbine based on correlation-FMEA. Ocean Engineering, vol. 129, no. 154, 382–388, DOI: 10.1016/j.oceaneng.2016.11.048.
Dedimas, T., Gebeyehu, S.G. (2019). Application of failure mode effect analysis (FMEA) for efficient and cost-effective manufacturing: A case study at Bahir Dar textile share company, Ethiopia. Journal of Optimization in Industrial Engineering, vol. 12, no. 1, 23–29, DOI: 10.22094/joie.2018.556677.1533.
Thawkar, A., Tambe, P., Deshpande, V. (2018). A reliability centred maintenance approach for assessing the impact of maintenance for availability improvement of carding machine. International Journal of Process Management and Benchmarking, vol. 8, no. 3, 318–339, DOI: 10.1504/IJPMB.2018.092891.
Hussain, Z., Jan, H. (2019). Establishing simulation model for optimizing efficiency of CNC machine using reliability-centered maintenance approach. International Journal of Modeling, Simulation, and Scientific Computing, vol. 10, no. 6, DOI: 10.1142/S179396231950034X.
Udoh, N.S. (2018). A reliability analysis of 8hp-pml gold engine coupled locally fabricated cassava grinding machine. International Journal of Statistics and Applied Mathematics, vol. 3, no. 6, 28-35.
Bala, R.J., Govinda, R.M., Murthy, C.S.N. (2018). Reliability analysis and failure rate evaluation of load haul dump machines using Weibull distribution analysis. Mathematical Modelling of Engineering Problems, vol. 5, no. 2, 116-122,DOI: 10.18280/mmep.050209.
Choudhary, D., Tripathi, M., Shankar, R. (2019). Reliability, availability and maintainability analysis of a cement plant: a case study. International Journal of Quality & Reliability Management, vol. 36, no. 3, 298-313,DOI: 10.1108/IJQRM-10-2017-0215.
Tsarouhas, P. (2020). Reliability, Availability, and Maintainability (RAM) Study of an Ice Cream Industry. Applied Sciences, vol. 10, no. 12, 1-20,DOI: 10.3390/app10124265.
Patil, S.S., Bewoor, A. K. (2020). Reliability analysis of a steam boiler system by expert judgment method and best-fit failure model method: a new approach. International Journal of Quality & Reliability Management, vol. 38, no. 1, 389–409, DOI: 10.1108/IJQRM-01-2020-0023.
Tsarouhas, P. (2018). Reliability, availability and maintainability (RAM) analysis for wine packaging production line. International Journal of Quality & Reliability Management, vol. 35, no. 3, 821–842, DOI: 10.1108/IJQRM-02-2017-0026.
Nakamanuruck, I., Talabgaew, S., Rungreunganun, V. (2016). An Application of Reliability Centered Maintenance Technique for Preventive Maintenance in Refinery Plant. Applied Mechanics and Materials, vol. 848, 244–250, DOI: 10.4028/www.scientific.net/AMM.848.244.
Saleem, F., Nisar, S., Khan, M. A., Khan, S. Z., Sheikh, M.A. (2017). Overall equipment effectiveness of tyre curing press: A case study. Journal of Quality in Maintenance Engineering, vol. 23, no. 1, 39–56, DOI: 10.1108/JQME-06-2015-0021.
Maideen, N.C., Budin, S., Sahudin, S., and Samat, H.A. (2017). Synthesizing the machine's availability in Overall Equipment Effectiveness (OEE). Journal of Mechanical Engineering, vol. SI 4, no. 3, 89–99.
Zennaro, I., Battini, D., Sgarbossa, F., Persona, A., De Marchi, R. (2018). Micro downtime: Data collection, analysis and impact on OEE in bottling lines the San Benedetto case study. International Journal of Quality & Reliability Management, vol. 35, no. 4, 965–995, DOI: 10.1108/IJQRM-11-2016-0202.
Bengtsson, M., Andersson, L.G., Ekström, P. (2021). Measuring preconceived beliefs on the results of overall equipment effectiveness – A case study in the automotive manufacturing industry. Journal of Quality in Maintenance Engineering, DOI: 10.1108/JQME-03-2020-0016.
Steege, P. (1996). Overall equipment effectiveness in resist processing equipment. IEEE/SEMI 1996 Advanced Semiconductor Manufacturing Conference and Workshop, 76–79, DOI: 10.1109/ASMC.1996.557975.
Chakravarthy, G.R., Keller, P.N., Wheeler, B.R., Van Oss, S. (2007). A methodology for measuring, reporting, navigating, and analyzing Overall Equipment Productivity (OEP). 2007 IEEE/SEMI Advanced Semiconductor Manufacturing Conference, 306–312, DOI: 10.1109/ASMC.2007.375055.
Ahmadi, S., Hajihassani, M., Moosazadeh, S., Moomivand, H. (2020). An Overview of the Reliability Analysis Methods of Tunneling Equipment. The Open Construction and Building Technology Journal, vol. 14 no. 1, 218-229,DOI: 10.2174/1874836802014010218.
Tee, K.F., Ekpiwhre, E. (2019). Reliability-based preventive maintenance strategies of road junction systems. International Journal of Quality & Reliability Management, vol. 36, no. 5, 752–781, DOI: 10.1108/IJQRM-01-2018-0018.
Botsaris, P. N., Konstantinidis, E. I., Pitsa, D. (2012). Systemic assessment and analysis of factors affect the reliability of a wind turbine. Journal of Applied Engineering Science, vol. 10, no. 2, pp. 85–92, DOI: 10.5937/jaes10-2130..
Stapelberg, R.F. (2009). Handbook of Reliability, Availability, Maintainability and Safety in Engineering Design. Verlag London: Springer.
Ebeling, C.E. (1997). An Introduction to Reliability and Maintainability Engineering. McGraw-Hill Science.
Dhillon B.S. (2002). Engineering maintenance: A modern approach. CRC Press LLC.
Zio, E. (2009). Reliability engineering: Old problems and new challenges. eliability Engineering & System Safety, vol. 94, no. 2, 125–141, DOI: 10.1016/j.ress.2008.06.002.
Zhu, S.P., Keshtegar, B., Chakraborty, S., Trung, N.T. (2020). Novel probabilistic model for searching most probable point in structural reliability analysis. Computer Methods in Applied Mechanics and Engineering, vol. 366, 1-19, DOI: 10.1016/j.cma.2020.113027.
Minitab, I. (2020). MINITAB [Internet], http://www.minitab.com/en-US/products/minitab/ (accessed Jan. 26, 2022).
Jardine, A.K.S., Tsang, A.H.C. (2013). Maintenance, Replacement, and Reliability: Theory and Applications. Second Edition. Taylor & Francis Group, Boca Raton.
Emovon, I., Mgbemena, C.O. (2018). Machinery/service system scheduled replacement time determination: A combine weighted aggregated sum product assessment, additive ratio assessment and age replacement model approach. International Journal of Integrated Engineering, vol. 10, no. 1, 169–175, DOI: 10.30880/ijie.2018.10.01.025.
Chaowasakoo, P., Seppälä, H., Koivo, H. (2018). Age-based maintenance for a fleet of haul trucks. Journal of Quality in Maintenance Engineering, vol. 24, no. 4, 511-528.DOI: 10.1108/JQME-03-2017-0016.
Grote, K.-H., and Antonsson, E.K. (2008).Springer Handbook of Mechanical Engineering. Springer Science & Business Media.
