Lean Improvement of the Fuzzy Overall Equipment Effectiveness for the Half-Bearing Production Processes using the System Dynamics Simulation
DOI:
https://doi.org/10.55003/ETH.420104Keywords:
Fuzzy Overall Equipment Effectiveness, Half-Bearing, System Dynamics Simulation, Lean ImprovementAbstract
This research presents the problem of decreasing the production efficiency of the Half-bearing production process resulting in parts production quantities not meeting the target. The OEE is used as a production efficiency index, which measures availability rate, performance efficiency and quality rate. The characteristic of production data in practice is dynamic behaviour. The objectives of this research are to analyze problems of the half-bearing production process to make improvements using OEE assuming time and loss to be TFNs. The research method is to develop a system dynamics model to analyze %OEE, whereas %OEE before improvements ranges between 67–72%. The improvement operations are waste reduction, planned maintenance, system testing and tool change. The results found that the %OEE after improvement range between 70–77% and the %improvement range between 3–11%.
References
R. K. Singh, E. J. Clements and V. Sonwaney, “Measurement of Overall Equipment Effectiveness to Improve Operational Efficiency,” International Journal of Process Management and Benchmarking, vol.8, no.2, pp. 246–261, 2018, doi: 10.1504/IJPMB.2018.10010267.
A. Tayal, N. S. Kalsi, M. K. Gupta, D. Y. Pimenov, M. Sarikaya and C. I. Pruncu, “Effective Improvement in Manufacturing Industry; Trilogy Study and Open Innovation Dynamics,” Journal of Open Innovation: Technology, Market, and Complexity, vol. 7, no. 1, 2021, Art. no. 7, doi: 10.3390/joitmc7010007.
H. H. Purba, E. Wijayanto and N. Aristiara, “Analysis of Overall Equipment Effectiveness (OEE) with Total Productive Maintenance Method on Jig Cutting: A Case Study in Manufacturing Industry,” Journal of Scientific and Engineering Research, vol. 5, no.7, pp. 397–406, 2018.
I. Paprocka, W. M. Kempa, K. Kalinowski and C. Grabowik, “Estimation of Overall Equipment Effectiveness using Simulation Programme,” IOP Conference Series: Materials Science and Engineering, vol. 95, 2021, Art. no. 012155, doi: 10.1088/1757-899x/95/1/012155.
D. A. Kifta and N. T.Putri, “Analysis and Measurement of Overall Equipment Effectiveness (OEE) Values of the CNC Cutting Machine at PT.XYZ,” in 2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), Singapore, Dec. 13–16, 2021, pp. 953–958, doi: 10.1109/IEEM50564.2021.9672603.
H. A. Samat, S. Kamaruddin and I. A. Azid, “Integration of Overall Equipment Effectiveness (OEE) and Reliability Method for Measuring Machine Effectiveness,” South African Journal of Industrial Engineering, vol. 23, no.1, pp. 92–113, 2012.
W. A. E. L. Tayel, A. E. D. Z. Ali, H. F. A. E. Maksoud, S. H. Darwish and M. E. Morsy, “Productivity Improvement based on Measuring the Overall Equipment Effectiveness in Metal Formation Production Stages,” in 2023 International Telecommunications Conference (ITC-Egypt), Alexandria, Egypt, Jul. 18–20, 2023, pp. 715–718, doi: 10.1109/ITC-Egypt58155.2023.10206071.
A. Zuashkiani, H. Rahmanda and A. K. S. Jardine, “Mapping the Dynamics of Overall Equipment Effectiveness to Enhance Asset Management Practices,” Journal of Quality in Maintenance Engineering, vol. 17, no. 1, pp. 74–92, 2011, doi: 10.1108/13552511111116268.
S. P. Bansi, M. Nayak, U. S. Krishna, “Optimizing Overall Performance of Beverage Industry by Total Productive Maintenance,” IOSR Journal of Business and Management, vol. 17, no. 5, pp. 107–115, 2015, doi: 10.9790/487X-1751107115.
H. C. Shiva Prasad, S. Hebbar, D. Shenoy and S. N. Naik, “System Dynamics Simulation of Overall Equipment Efficiency with Equipment Defects, Process Quality and Throughput,” in Proc International Multidisciplinary Research Conference (IMRF 2016), Colmobo, Srilanka, May 26–29, 2016, pp. 1–9.
H. K. Pishghadam and H. Esmaeeli, “A System Dynamics Model for Evaluating the Firms’ Capabilities in Maintenance Outsoucing and Analyzing the Profitability of Outsourcing,” Scientia Iranica, vol. 30, no.2, pp. 712–726, 2023, doi: 10.24200/sci.2021.55108.4080.
E. T. Makhaza, W. M. Goriwondo and D. Zimwara, “Development of a Dynamic Lean Assessment Model to Evaluate the Impact of an Improvement Techniques on a Manufacturing System: A Case Study of an Automotive Battery Manufacturing System,” Zimbabwe Journal of Science and Technology, vol. 16, no. 1, pp. 76–89, 2021.
J. Gejo-García, J. Reschke, S. Gallego-García and M. García –García, “Development of a System Dynamics Simulation for Assessing Manufacturing Systems based on The Digital Twin Concept,” applied sciences, vol. 12, no. 4, 2022, Art. no. 2095, doi: 10.3390/app12042095.
M. Ghazanfari, M. Jafari and S. Alizadeh, “An Approach to Solve Fuzzy System Dynamics Problems,” in 21st International Conference of the System Dynamics Society, New York, NY, USA, Jul. 20–24, 2003, Art. no. 240.
F. Zammori, M. Braglia and M. Frosolini, “Stochastic Overall Equipment Effectiveness,” International Journal of Production Research, vol. 49, no. 21, pp. 6469–6490, 2011, doi: 10.1080/00207543.2010.519358.
A. A. Mitsel, M. V. Griroroeva and T. Y. Dunaeva, “Assessment of Overall Equipment Effectiveness according to OEE Methodology,” Journal of Physics: Conference series, vol. 1889, 2021, Art. no. 042002, doi: 10.1088/1742-6596/1889/4/042002.
M. Maran, M. Guru and K. Thiagarajan, “Fuzzy Expert System for Plant Overall Equipment Effectiveness,” European Journal of Scientific Research, vol. 83, no. 3, pp. 430–438, 2012.
F. Zammori, “Fuzzy Overall Equipment Effectiveness (FOEE): capturing performance fluctuations through LR Fuzzy numbers,” Production Planning & Control, vol. 26, no.6, pp. 451–466, 2015, doi: 10.1080/09537287.2014.920545.
M. P. Rößler and E. Abele, “Uncertainty in the Analysis of the Overall Equipment Effectiveness on the Shop Floor,” in 2013 International Conference on Manufacturing, Optimization, Industrial and Material Engineering (MOIME 2013), Bandung, Indonesia, Mar. 9–10, 2013, pp. 1–9, doi: 10.1088/1757-899X/46/1/012019.
L. Foulloy ,V. Clivillé and L. Berrah, “A Fuzzy Temporal Approach to The Overall Equipment Effectiveness Measurement,” Computers & Industrial Engineering, vol. 127, pp. 103–115, 2019, doi: 10.1016/j.cie.2018.11.043.
M. C. Joe Anand and J. Bharatraj, “Theory of Triangular Fuzzy Number,” in 4th National Conference on Advances in Technology and Management (NCATM-2017), Navi Mumbai, India, Mar. 23–24, 2017, pp. 80–83.
E. Sebastian, L. Sujatha, “Project Scheduling Method using Triangular Intuitionistic Fuzzy Numbers and Triangular Fuzzy Numbers,” Applied Mathematical Sciences, vol. 9, no.4, pp. 185–198, 2015, doi: 10.12988/ams.2015.410852.
B. Rama, G. M. Rosario, “A Fuzzy Inventory Model Based on Different Defuzzification Techniques of Various Fuzzy Numbers,” in International Conference on Recent trends in Mathematics and Information Technology (ICRMIT-2018), Coimbatore, India, Mar. 1–2, 2018, pp. 31–40.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 School of Engineering, King Mongkut’s Institute of Technology Ladkrabang
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
The published articles are copyrighted by the School of Engineering, King Mongkut's Institute of Technology Ladkrabang.
The statements contained in each article in this academic journal are the personal opinions of each author and are not related to King Mongkut's Institute of Technology Ladkrabang and other faculty members in the institute.
Responsibility for all elements of each article belongs to each author; If there are any mistakes, each author is solely responsible for his own articles.
