ANALYSIS OF THE DISPATCH FATIGUE MANAGEMENT SYSTEM AND DETERMINANT FACTORS OF FATIGUE IN MINING ACTIVITIES
Fatigue is one of the primary factors affecting safety and work performance across various industrial sectors. According to the International Labour Organization (ILO), fatigue accounts for 15-20% of fatal accidents. To mitigate this risk, mining companies have adopted the Dispatch Fatigue Managemen...
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| Format: | Theses |
| Language: | Indonesia |
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| Online Access: | https://digilib.itb.ac.id/gdl/view/86818 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | Fatigue is one of the primary factors affecting safety and work performance across various industrial sectors. According to the International Labour Organization (ILO), fatigue accounts for 15-20% of fatal accidents. To mitigate this risk, mining companies have adopted the Dispatch Fatigue Management System (DFMS), a sensor-based and real-time algorithm system designed to monitor worker fatigue. DFMS has been implemented in several companies in Indonesia, including PT. X, to enhance workplace safety. This study aims to evaluate the effectiveness of DFMS at PT. X in detecting and mitigating fatigue among dump truck operators. The Overall Equipment Effectiveness (OEE) matrix was utilized to assess the system’s performance in terms of availability, performance, and quality. Additionally, the Failure Mode and Effects Analysis (FMEA) was conducted to identify challenges and formulate improvement measures. The study employed a mixed-method approach, combining qualitative and quantitative methods. Sampling techniques included Purposive and Snowball Sampling. Qualitative data were gathered through in-depth interviews and field observations, while quantitative data were analyzed using SmartPLS to examine the relationships between variables contributing to fatigue, such as demographic factors, sleep quality, and psychological conditions. The findings reveal that the OEE score of DFMS at PT. X is only 1.3%, significantly below the standard. System availability reached 90.7%, but performance was limited to 72.7%, and detection quality was low at 2% due to the high rate of false alerts. Other obstacles identified include technical issues with the equipment, inadequate maintenance, incompatibility of the system with the working environment, and low operator awareness in optimally utilizing DFMS. This study recommends improvements in DFMS maintenance, sensor accuracy, and system adaptation to specific environmental conditions. Operator training is necessary to enhance understanding and awareness of the importance of DFMS. Additionally, the management of fatigue detection data needs to be refined to support better decision-making related to workplace safety. The study underscores the importance of synergy between DFMS technology and safety management to create a safer and more productive work environment. These findings provide significant contributions to fatigue mitigation strategies in the mining sector and can be applied to other industries facing similar risks. |
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