International Journal of Occupational Hygiene 2017. 9(3):.

The Use of accident indicators for risk assessment monitoring in design and construction phase of pelletizing project, 2016-2017
Gholam Hossein Halvani, Seyed Mostafa Khezri, Mojtaba Moghaddasi, Mahdiye Shafiezade Bafghi


Introduction: To maintain and preserve workforce and reduce accidents, requirement in industrial HSE[1] management system relies on prevention before occurrence. The aim of this study was to evaluate the safety conflicts by preliminary hazard analysis (PHA) method and monitoring of subjective risk assessment by safety performance indicators.

Methods: This is a descriptive – analytical and interventional study that has been carried out on 30 jobs in the pelletizing project. After classifying risks in Preliminary Hazard List (PHL), severity and probability of the risk and the initial risk assessment code (RAC1) were calculated. Acceptance risks were eliminated of the Preliminary Hazard List and the remainder for corrective actions were recorded in the form of PHA and then the secondary risk assessment code (RAC2) was determined. Annual safety performance indicators were also calculated for these jobs and finally statistical analysis was conducted on the relationship between mentioned indicators and the results of risk assessment.

Results: Among different occupations, the highest accident frequency rate and the highest risk related to welding jobs and maximum lost work days related to the installation of steel structure were investigated. The relationship between RAC1 and RAC2 showed a significant difference between risk assessment code before and after corrective action. Our result was an indicative of the effectiveness of corrective actions.

In the next step to determine the relationship between the initial risk assessment codes (RAC1) and safety performance indicators (AFR, ASR and FSI), a Pearson correlation coefficient was calculated. Our test showed an inverse and quite significant relationship between RAC1 and safety performance indicators. Linear regression equation for calculated values showed that for every one unit increase in RAC1, AFR, ASR and FSI, were reduced by 14.9, 110.37 and 1.24 in, respectively.

Conclusion: Given the high rate of accidents and existence of unacceptable risks, safety officers and supervisors should have proceeded faster than scrutiny of safety conflicts. Regarding the monitoring of risk assessment by accident indicators and significant relationship between them, Subjective risk assessment research can be used for further safety in working environments.

[1] HSE: Health, Safety, environment


Monitoring of Risk assessment, PHA, Accident indicator

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