Design of a Real-Time Productivity Monitoring Dashboard System for CNC Machines at PT X
Abstract
PT X is a contract manufacturing company that produces metal-based items and has established contracts with several manufacturers, resulting in variations in item demand. The demand for all items can be met through the company’s four departments: cutting, milling, Computer Numerical Control (CNC), and press. Among these departments, the CNC department recorded the lowest productivity percentage in 2023. This was due to the absence of tools or dashboards capable of monitoring CNC machine conditions in real time. To address this issue, a dashboard system was designed to monitor the productivity of CNC machines. The design method used in this study is the Vilarinho method, which begins with diagnosing the productive area, followed by planning and identifying system requirements, developing the system, and concluding with system testing and implementation. The dashboard system was developed using Node-Red software and implemented directly on two CNC machines. The dashboard includes a display that presents data and information reflecting the productivity of CNC machines at PT X. This dashboard will serve as a tool for monitoring and decision-making for both managerial staff and production personnel regarding the CNC machine production process.
References
[2] D. Wu, M. Tannen, J. Anyu, S. Ivanov, and F. Xu, “Contract manufacturing, market competition, and labor productivity in US manufacturing industries,” Oper Manag Res, vol. 16, pp. 377–390, 2023.
[3] R. Matheus, M. Janssen, and D. Maheshwari, “Data science empowering the public: Data-driven dashboards for transparent and accountable decision-making in smart cities,” Gov Inf Q, vol. 37, no. 3, Jul. 2020.
[4] H. Kerzner, Project Management Metrics, KPIs, and Dashboards, 4th ed. Hoboken, New Jersey: John Wiley & Sons, 2023.
[5] J. Reinking, V. Arnold, and S. G. Sutton, “Synthesizing enterprise data through digital dashboards to strategically align performance: Why do operational managers use dashboards?,” International Journal of Accounting Information Systems, vol. 37, Jun. 2020.
[6] S. Vilarinho, I. Lopes, and S. Sousa, “Developing dashboards for SMEs to improve performance of productive equipment and processes,” J Ind Inf Integr, vol. 12, pp. 13–22, Dec. 2018.
[7] O. C. Chikwendu, A. S. Chima, and M. C. Edith, “The optimization of overall equipment effectiveness factors in a pharmaceutical company,” Heliyon, vol. 6, no. 4, Apr. 2020.
[8] J.-P. Dal Pont, Process Engineering and Industrial Management, 1st ed. Hoboken-London: Wiley-ISTE, 2012.
[9] M. M. Schiraldi and M. Varisco, “Overall Equipment Effectiveness: consistency of ISO standard with literature,” Comput Ind Eng, vol. 145, Jul. 2020.
[10] C. Y. Chen, S. H. Wu, B. W. Huang, C. H. Huang, and C. F. Yang, “Web-based Internet of Things on environmental and lighting control and monitoring system using node-RED, MQTT and Modbus communications within embedded Linux platform,” Internet of Things (Netherlands), vol. 27, Oct. 2024.
