PENGUKURAN OVERALL EQUIPMENT EFFECTIVENESS PADA PROSES PEMOTONGAN INDUSTRI FURNITURE
Abstract
The sawmill machine is one of the machines highly used in the cutting process n furniture production at PT X. The sawmill machine used at PT X experiences various problems, including damage and damage repair time in more than 15% of the total production time. The event of machine failures also causes several impacts, such as low target achievement and non-uniform quality. The Overall Equipment Effectiveness (OEE) gets an average OEE value for the period January 2021 - June 2021 of 46.79%, which is still far from the ideal standard value of Overall Equipment Effectiveness, which is 85%. Factors that greatly influence the low value of OEE based on. The sixth significant losses analysis is rework losses of 17.48%, followed by breakdown losses and reduced speed losses, which both have a percentage of 16.12%. Meanwhile, for Set up and Adjustment Loss, Idling Minor Stoppage, and Scrap or Yield Loss, the portions are relatively small, less than 5%.
References
[2] T.-Y. Wang and H.-C. Pan, “Improving the OEE and UPH data quality by Automated Data Collection for the semiconductor assembly industry,” Expert Syst Appl, vol. 38, no. 5, pp. 5764–5773, 2011, doi: 10.1016/j.eswa.2010.10.056.
[3] S. Jebaraj Benjamin, U. Murugaiah, and M. Srikamaladevi Marathamuthu, “The use of SMED to eliminate small stops in a manufacturing firm,” Journal of Manufacturing Technology Management, vol. 24, no. 5, pp. 792–807, 2013, doi: 10.1108/17410381311328016.
[4] Z. F. Hunusalela, S. Perdana, and R. Usman, “Analysis of productivity improvement in hard disc spare parts production machines based on OEE, FMEA, and fuzzy value in Batam,” 2019, vol. 508, no. 1. doi: 10.1088/1757-899X/508/1/012086.
[5] C. Anusha and V. Umasankar, “Performance prediction through OEE-model,” International Journal of Industrial Engineering and Management, vol. 11, no. 2, pp. 93–103, 2020, doi: 10.24867/IJIEM-2020-2-256.
[6] A. Sohal, J. Olhager, P. O’Neill, and D. Prajogo, “Implementation of OEE - Issues and challenges,” 2010. [Online]. Available: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84894172479&partnerID=40&md5=2422d9b1a9f25a28ce444f13347c3988
[7] T. Facchinetti and G. Citterio, “Application of the Overall Equipment Effectiveness to a Service Company,” IEEE Access, vol. 10, pp. 106613–106640, 2022, doi: 10.1109/ACCESS.2022.3211266.
[8] Õ. Ljungberg, “Measurement of overall equipment effectiveness as a basis for TPM activities,” International Journal of Operations and Production Management, vol. 18, no. 5, pp. 495–507, 1998, doi: 10.1108/01443579810206334.
[9] F. Saleem, S. Nisar, M. A. Khan, S. Z. Khan, and M. A. Sheikh, “Overall equipment effectiveness of tyre curing press: A case study,” J Qual Maint Eng, vol. 23, no. 1, pp. 39–56, 2017, doi: 10.1108/JQME-06-2015-0021.
[10] D. H. Stamatis, The OEE primer: Understanding overall equipment effectiveness, reliability, and maintainability. Taylor and Francis, 2017. doi: 10.1201/EBK1439814062.
[11] K. Midor and M. Kučera, “Improving the Service with the Servqual Method,” Management Systems in Production Engineering, vol. 26, no. 1, 2018, doi: 10.2478/mspe-2018-0010.
[12] Z. Aleš, J. Pavlů, V. Legát, F. Mošna, and V. Jurča, “Methodology of overall equipment effectiveness calculation in the context of industry 4.0 environment,” Eksploatacja i Niezawodnosc, vol. 21, no. 3, 2019, doi: 10.17531/ein.2019.3.7.
.png)
