Production Monitoring System Using Overall Equipment Effectiveness (OEE) Method to Improve Stamping Machine Performance

Gun Gun Maulana


One of the factors that support success in the manufacturing industry is the smoothness of the production process. There are six factors that affect engine performance, known as the Six Big Loss. Six significant losses are the cause of production equipment not operating normally, namely: start-up loss, set up or adjustment loss, cycle time losses, speed loss, breakdown loss and defect loss. Downtime that often occurs results in decreased productivity, and production results do not reach the target. Production machine downtime is often not known by some parties, especially superiors positions such as managers, section heads and maintenance division. The goal to be achieved in this research is to design and realize a performance monitoring system for a stamping machine based on the internet of things (IOT) to increase the effectiveness of the machine with the optimal amount of production. The method used to determine machine performance is Overall Equipment Effectiveness (OEE). OEE is one of the methods available in TPM or Total Productive Maintenance. The study results show that machine downtime notifications are informed quickly using an alarm system.


production monitoring, alarm, OEE, MTBF, MTTR.

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A. Budiyarto, G. G. Maulana, R. Ridwan, and F. Dzulfikar, “Desain Implementasi Andon untuk Production Monitoring System Berbasis Internet of Thing,” CESS (Journal Comput. Eng. Syst. Sci., 2020, doi: 10.24114/cess.v5i1.14754.

R. Poles, “System Dynamics modelling of a production and inventory system for remanufacturing to evaluate system improvement strategies,” Int. J. Prod. Econ., 2013, doi: 10.1016/j.ijpe.2013.02.003.

G. G. Maulana and S. Pancono, “Proses Control System Pada Mesin Stamping Berbasis Internet Of Thing,” CESS (Journal Comput. Eng. Syst. Sci., vol. 6, no. 1, p. 48, 2021, doi: 10.24114/cess.v6i1.21180.

E. J. Clements, V. Sonwaney, and R. K. Singh, “Measurement of overall equipment effectiveness to improve operational efficiency,” Int. J. Process Manag. Benchmarking, vol. 8, no. 2, p. 246, 2018, doi: 10.1504/ijpmb.2018.10010267.

H. Prasetyo, Y. Sugiarto, and C. N. Rosyidi, “Design of an automatic production monitoring system on job shop manufacturing,” 2018, doi: 10.1063/1.5024080.

C. V. Trappey, A. J. C. Trappey, and C. S. Liu, “Develop patient monitoring and support system using mobile communication and intelligent reasoning,” 2009, doi: 10.1109/ICSMC.2009.5345889.

M. Sayuti, Juliananda, Syarifuddin, and Fatimah, “Analysis of the Overall Equipment Effectiveness (OEE) to Minimize Six Big Losses of Pulp machine: A Case Study in Pulp and Paper Industries,” IOP Conf. Ser. Mater. Sci. Eng., vol. 536, no. 1, 2019, doi: 10.1088/1757-899X/536/1/012136.

K. M. Cheh, “Analysis of Overall Equipment Effectiveness (OEE) within different sectors in different Swedish industries,” pp. 1–65, 2014, [Online]. Available:

S. Dewi, J. Alhilman, and F. T. D. Atmaji, “Evaluation of Effectiveness and Cost of Machine Losses using Overall Equipment Effectiveness (OEE) and Overall Equipment Cost Loss (OECL) Methods, a case study on Toshiba CNC Machine,” IOP Conf. Ser. Mater. Sci. Eng., vol. 847, no. 1, 2020, doi: 10.1088/1757-899X/847/1/012020.

P. Oborski, “Integrated monitoring system of production processes,” Manag. Prod. Eng. Rev., 2016, doi: 10.1515/mper-2016-0039.

W. Winasis, A. W. W. Nugraha, I. Rosyadi, and F. S. T. Nugroho, “Desain Sistem Monitoring Sistem Photovoltaic Berbasis Internet of Things (IoT),” J. Nas. Tek. Elektro dan Teknol. Inf., vol. 5, no. 4, pp. 328–333, 2016, doi: 10.22146/jnteti.v5i4.281.

S. Arun Jayakar, M. Kalimuthu, S. Sakthiya Ram, and G. M. Tamilselvan, “Implementation of industrial internet of things based industrial tank level control process,” Int. J. Recent Technol. Eng., vol. 7, no. 4, pp. 438–443, 2019.

M. Kumar, R. Vaishya, and Parag, “Real-Time Monitoring System to Lean Manufacturing,” 2018, doi: 10.1016/j.promfg.2018.02.019.

C.-I. Hou, H.-C. Huang, T.-S. Lan, and W.-M. Teng, “Remote Real - Time Process and Production Monitoring Mechanism of Lighting Parts for Outdoor Recreation,” Int. J. Comput. Sci. Inf. Technol., vol. 6, no. 4, pp. 185–193, 2014, doi: 10.5121/ijcsit.2014.6412.

R. G. Rennie, R. Senduk, and H. Tabaiujan, “Production and reserves monitoring (PARM) system,” 1988, doi: 10.2523/17684-ms.

G. G. Maulana, “Pengontrolan Robot Humanoid Menggunakan Metode Speech Recognation Berbasis Mikrokontroller Raspberry Pi,” Comput. Eng. Sci. Syst. J., 2019, doi: 10.24114/cess.v4i1.11447.

G. G. Maulana, H. Rudiansyah, and S. N. Tazkia, “Automation Forklift System untuk Penyimpanan Produk pada Gudang Berbasis Labview,” J. Tek. Inform. dan Sist. Inf., 2020, doi: 10.28932/jutisi.v6i1.2334.

H. H. Arndt, “Process control,” in Project Management: A Reference for Professionals, 2017.

I. Mohanraj, K. Ashokumar, and J. Naren, “Field Monitoring and Automation Using IOT in Agriculture Domain,” 2016, doi: 10.1016/j.procs.2016.07.275.

G. G. Maulana, S. Pancono, and A. Mia, “Desain Dan Implementasi Sistem Pengendalian Otomatis Untuk Mengatur Debit Air Pada Prototipe Bendung Sebagai Pencegahan Banjir, Politeknik Manufaktur Bandung,” J. Tek. Inform. dan Sist. Inf., vol. 4, no. 3, pp. 407–421, 2018.

D. Segovia, M. Mendoza, E. Mendoza, and E. González, “Augmented Reality as a Tool for Production and Quality Monitoring,” 2015, doi: 10.1016/j.procs.2015.12.250.


S. Hu, F. Liu, Y. He, and T. Hu, “An on-line approach for energy efficiency monitoring of machine tools,” J. Clean. Prod., 2012, doi: 10.1016/j.jclepro.2012.01.013.



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