DESIGN IMPLEMENTATION ANDON FOR PRODUCTION MONITORING SYSTEM BASED ON INTERNET OF THINGS

  • Gun Gun Maulana Department of Automation and Mechatron Engineering, Pollitechnic of Manufactur Bandung, Bandung, Indonesia https://orcid.org/0000-0003-3569-0606
  • Aris Budiyarto Department of Automation and Mechatron Engineering, Pollitechnic of Manufactur Bandung, Bandung, Indonesia
  • Ridwan Department of Automation and Mechatron Engineering, Pollitechnic of Manufactur Bandung, Bandung, Indonesia
Keywords: Production Monitoring System, Web Interface, OEE, Database, Real Time Database Firebase

Abstract

Each production requires a system monitoring, so efficiency that the desired and productivity can be achieved and monitored in real time. This system is needed in the type of press machine production which is mainly influenced by based production lead time. The monitoring process is one of the factors that influences the time of production and manufacturing. Conventionally, the system is monitoring carried out manually by the operator on a piece of paper. This method tends to create errors and quite a long time. This paper aims to overcome the problems that occur by creating a system that is able to record and monitor the machine automatically. The solution is made by utilizing a sensor limit switch, infrared, pressure transmitter and Wi-Fi network based on Web Interface that is connected to the Firebase real time database. Equipped with PID control using the Ziegler Nichols 1 method to stabilize wind pressure on the system. Monitoring devices can be accessed on PCs, laptops, smartphones, connected to the internet, equipped with user-level operators, management, or engineers so that they can be used easily. All production data for each press is collected in a database. The data will be processed by the system to produce a value OEE machine. All data will be displayed on the Web Interface in real-time. The system output is the actual production, value OEE and wind pressure control. The test results show the system is running well, with 2s delay time and data accuracy of ± 0.2%.

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References

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Published
2022-01-05
How to Cite
Maulana, G. G., Budiyarto, A., & Ridwan. (2022). DESIGN IMPLEMENTATION ANDON FOR PRODUCTION MONITORING SYSTEM BASED ON INTERNET OF THINGS. International Journal of Engineering Technologies and Management Research, 8(12), 69-79. https://doi.org/10.29121/ijetmr.v8.i12.2021.1083