Quantitative risk modelling of occupational safety in green-port

9th Annual Basic Science International Conference 2019

自然科学（总论）

Andriani, Debrina Puspita^1 ; Novianti, Vina Dwi^1 ; Adnandy, Rheza^1 ; A'Yunin, Qurrota^1

Department of Industrial Engineering, Universitas Brawijaya, Malang, Indonesia^1

关键词: Analysis and modelling;    Automated stacking cranes;    Computational approach;    Electricity and gas;    Industrial revolutions;    Occupational accident;    Risk quantification;    Transportation system;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/546/5/052007/pdf
DOI  :  10.1088/1757-899X/546/5/052007

学科分类：自然科学（综合）

来源: IOP

【 摘 要 】

Three industrial revolutions are known to have been able to improve the welfare of the community. The fourth industrial revolution or industry 4.0 made many studies carried out on plans, implementations, and other actions that will affect the community. Some industries also began competing to apply industry 4.0 in their systems, including case in this study. This study was conducted in one of the port terminals that are known to be the one and only port that has implemented semi-automatic technology and environmentally friendly in the developing countries. The port operates semi-automatically, so the operating system uses computerization and minimal manpower. As a modern port, this port is equipped with advanced technology, such as automated stacking cranes, ship to shore, and grab ship un-loader, CNG trucks, combined terminal tractors, and others. Port working system is also different from the other ports where only equipment and vehicles that fuelled electricity and gas are allowed to operate in this port, so they also are known as green-ports. Based on preliminary research that had been done, even though the technology and work systems that are applied are sophisticated, but it was known that there were still some occupational accidents that should not have happened, especially in the ship to shore area. The aim of this research was conducted to identify the probability of hazards that occur based on historical data and minimize the risk of further occupational accidents using risk analysis and modelling. Statistical, mathematical, and computational approaches were carried out to obtain risk quantification and develop risk mitigation and response strategies. Thus, the results of the study are expected to help this port as a pilot green-port for other ports, so that it will have a massive positive impact on the change in a more environmentally friendly transportation system.