Analisis Rancang Bangun Implementasi SCADA System Untuk Peningkatan Performa Mesin Produksi Pada Proses Washing Component Manufacture Engine Assembling Indonesia
Main Article Content
Abstract
This paper presents how to increase the effectiveness of automobile manufacturing in terms of production machine performance. Automobile companies are one of the many industries that exist in various countries. This is because automobiles are transportation products that are widely used both for the purpose of transporting people and goods. Poor production machine performance will disrupt internal productivity to the point that it will affect the stability of industrial profits. One of the factors causing poor engine performance is due to predictive maintenance analysis activities that are still not optimal. SCADA system development will focus on monitoring equipment before it becomes abnormal (predictive maintenance) in real time. The monitoring and control method is carried out automatically by using sensors for data retrieval and a programmable logic controller as a remote terminal unit. Then, data will be sent to the server via CC-Link IE Field Communication and later be recorded and analyzed through the SCADA display. The results of research optimizing engine performance using the SCADA system are effective, with an increase in engine performance of 96.2% for downtime and 97.0% for frequency trouble.
Downloads
Article Details
References
P. D. Anh and D. T. Chau, “Component-Oriented Architecture for SCADA System,” in International Conference on Computing, Engineering and Information, New York, 2009.
S. Ardi and A. Ponco, “Design of Integrated SCADA Systems in Piston Production Manufacturing Case Study on the Conveyor, the Coolant, the Hydraulic, and the Alarm Systems using PLC CJ1M and CJ1W-ETN21,” dalam Proc. of 2017 4th Int. Conf. on Information Tech., Computer, and Electrical Engineering (ICITACEE), Semarang, 2017.
N. Carnegie, D. Suryadi and Fitrilina, “Analisa Level Getaran Cooling Water Pump 1 Jenis Sentrifugal,” Rekayasa Mekanik, pp. 25-32, 2020.
S. Evans, Telecommunications Network Modelling, Planning and Design, London: The Institution of Engineering and Technology London, 2003.
L. Gigoni and A. Betti, “A Scalable Predictive maintenance Model for Detecting Wind Turbine Component Failures Based on SCADA Data,” Institute of Electrical and Electronic Engineering, pp. 1-5, 2019.
T. G. Grbac, M. Sverco and M. Mikuc, “SCADA Systems With Focus on Continuous Manufacturing and Steel Industry: A Survey on Architectures, Standards, Challenges and Industry 5.0,” Institute of Electrical and Electronic Engineering, pp. 1-36, 2022.
F. Hidayanti, “Implementasi Sistem SCADA untuk Proses Produksi Ban Pada Mesin Tire Curing,” dalam Seminar Nasional Metrologi dan Instrumentasi, Surabaya, 2013.
E. D. Knapp and J. T. Langill, Industrial Network Security Securing Critical Infrastructure Networks for Smart Grid, SCADA, and Other Industrial Control Systems, Waltham: Elsevier, 2015.
E. Lughofer and M. S. Mouchaweh, Predictive maintenance in Dynamic System, Cham: Springer, 2019.
D. C. Mazur, J. A. Kay dan K. D. Mazur, “Advancements in Vibration Monitoring for the Mining Industry,” in MIC-0264, New York, 2014.
J. Prihantoro, H. Taufiqurrohman, Suyanto, Cahyadi, A. Larasati and A. Nurrohim, “Implementation SCADA Web Client For Monitoring Geothermal Power Plant 3 MW Kamojang - Indonesia,” dalam 2nd International Conference on Electronic and Electrical Engineering and Intelligent System (ICE3IS), Bandung, 2022.
A. Rerkratn, I. Laosuwan, S. Tammaruckwattana and J. Parnklang, “Integration of WirelessHART Devices Into Mitsubishi PLC For Plant Monitoring,” in 3rd International Conference on Control and Robotics Engineering, Bangkok, 2018.
M. P. Sánchez, R. P. Panadero, M. R. Guasp, A. S. Baño, J. R. Folch and J. P. Cruz, “Motor Condition Monitoring of Induction Motor with Programmable Logic Controller and Industrial Network,” Institute of Electrical and Electronic Engineering, pp. 1-10, 2013.
W. Sánchez, C. Carvajal, J. Poalacin and E. Salazar, “Detection of Cavitation in Centrifugal Pump for Vibration Analysis,” in 4th International Conference on Control, Automation and Robotics, Sangolquí, 2018.