Prediction accident triangle in maintenance of underground mine facilities using Poisson distribution analysis

International Conference on Industrial and Systems Engineering 2017

Khuluqi, M.H.^1 ; Prapdito, R.R.^1 ; Sambodo, F.P.^2

Underground Mine Maintenance Division, PT. Freeport Indonesia, Tembagapura, Papua, Indonesia^1

SHE and Loss Prevention Mine Maintenance Division, PT. Freeport Indonesia, Tembagapura, Papua, Indonesia^2

关键词: Accident statistic;    Distribution analysis;    Equipment damage;    Maintenance work;    Major accidents;    Specific sites;    Technological complexity;    Underground mine;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/337/1/012069/pdf
DOI  :  10.1088/1757-899X/337/1/012069

来源: IOP

【 摘 要 】

In Indonesia, mining is categorized as a hazardous industry. In recent years, a dramatic increase of mining equipment and technological complexities had resulted in higher maintenance expectations that accompanied by the changes in the working conditions, especially on safety. Ensuring safety during the process of conducting maintenance works in underground mine is important as an integral part of accident prevention programs. Accident triangle has provided a support to safety practitioner to draw a road map in preventing accidents. Poisson distribution is appropriate for the analysis of accidents at a specific site in a given time period. Based on the analysis of accident statistics in the underground mine maintenance of PT. Freeport Indonesia from 2011 through 2016, it is found that 12 minor accidents for 1 major accident and 66 equipment damages for 1 major accident as a new value of accident triangle. The result can be used for the future need for improving the accident prevention programs.