Volume 4, Issue 4 (Occupational Medicine Quarterly Journal 2013)
tkj 2013, 4(4): 63-74 |
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Hasheminejad N, Halvani G, Moghadasi M, Zolala F, Shafiezadeh M. Risk assessment & safety performance indicators in designing and constructing phase of Agglomeration Project, Bafgh. tkj 2013; 4 (4) :63-74
URL: http://tkj.ssu.ac.ir/article-1-271-en.html
URL: http://tkj.ssu.ac.ir/article-1-271-en.html
Naser Hasheminejad 
, Gholamhosein Halvani , Mojtaba Moghadasi , Farzane Zolala , Mahdiye Shafiezadeh *
, Gholamhosein Halvani , Mojtaba Moghadasi , Farzane Zolala , Mahdiye Shafiezadeh *
Kerman University of Medical Sciences , m.shafiezade@yahoo.com
Abstract: (17483 Views)
Background: To reduce accidents, industrial HSE management system, and based on”prevention before occurrence” is required. The aim of this study was to evaluate the safety conflicts by Preliminary Hazard Analysis (PHA) method, and determine the relationship between risk assessment and accident indicators.
Methods: This is a descriptive analytical- study on 30 jobs in the Agglomeration Constructing Project in Bafgh. After classify risks, severity and probability of the risks determined, and the Initial Risk Assessment Code (RAC1) were computed. The corrective actions were recorded, and then the Secondary Risk Assessment Code (RAC2) was determined. Annual safety performance indicators were also calculated and statistical analysis conducted on the relationship between these indicators and the results of risk assessment.
Results: The highest accident frequency rate and the highest risk job were welding jobs. Maximum lost work days were in steel construction. Also there was a significant difference between risk assessment before and after corrective action that is indicative for the effectiveness of corrective actions. In the next step for determining the relationship between the initial risk assessment codes (RAC1) and safety performance indicators (AFR, ASR and FSI), Pearson correlation coefficient was showed an inverse and quite significant relationship between RAC1 and safety performance indicators. Linear regression equation showed that for every one unit increase in RAC1, the AFR, ASR and FSI, was reduced 14.9, 110.37 and 1.24 respectively.
Conclusion: Due to high rate of accidents and risks, faster investigation about safety conflicts and elimination of them is needed.
Type of Study: Research |
Subject:
Safety and occupational accidents
Received: 2013/03/26 | Accepted: 2014/01/16 | Published: 2014/01/16
Received: 2013/03/26 | Accepted: 2014/01/16 | Published: 2014/01/16
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