A centralized IoT-based process cycle time monitoring system for line balancing study

Sadun, Amirul Syafiq and Chulakit, Saranjuu and Jalaludin, Nor Anija and Jalani, Jamaludin and Ahmad, Suziana and Md Hanapi, Muhammad Haziq and Sabarudin, Nur Aminah (2023) A centralized IoT-based process cycle time monitoring system for line balancing study. Journal of Advanced Research in Applied Mechanics, 105 (1). pp. 58-67. ISSN 2289-7895

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Abstract

This study proposes a Centralized IoT-based Process Cycle Time Monitoring System (CTMS) to improve the efficiency and accuracy of line balancing studies in a production line with a conveyor system. The traditional approach of measuring cycle time, typically done by manual observation and recording, can be prone to errors due to human factors such as fatigue or inaccuracies in manual recording. The proposed CTMS utilizes a combination of cutting-edge technologies such as a cloud database, android application, LABVIEW GUI, analogue infrared (IR) sensors, and appropriate controllers to improve the reliability of cycle time measurements. The system continuously monitors the production line and provides real-time data on cycle time, downtime, and other relevant metrics, allowing production engineers to quickly identify bottlenecks and areas for improvement. The results of the study demonstrate the potential of the CTMS to be applied and expanded to actual production lines with conveyor systems, providing a valuable tool for production engineers to develop strategies to reduce cycle time and ensure it is kept in check. The proposed CTMS is expected to have a positive impact on the efficiency and profitability of the production line by reducing downtime and increasing productivity.

Item Type:	Article
Uncontrolled Keywords:	Cycle time, Monitoring system, LabVIEW, Internet of Things (IOT)
Divisions:	Faculty of Electrical and Electronic Engineering Technology
Depositing User:	Norfaradilla Idayu Ab. Ghafar
Date Deposited:	04 Jul 2024 14:28
Last Modified:	04 Jul 2024 14:28
URI:	http://eprints.utem.edu.my/id/eprint/27472
Statistic Details:	View Download Statistic

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