Volume 9, Issue 3 (7-2017)                   tkj 2017, 9(3): 45-57 | Back to browse issues page

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Nazaripour abdehgah E, Jahangiri M, Halvani G, Mohammadzade M, Gharib R. Applying predictive risk index to identify and evaluate safety dangers in a steel industry. tkj. 2017; 9 (3) :45-57
URL: http://tkj.ssu.ac.ir/article-1-740-en.html
, ebinazari92@gmail.com
Abstract:   (1227 Views)
Introduction: Risk management is the most part of health and safety executive (HSE) management systems and it can be used to identify dangers as well as prioritize actions to relieve dangers. Dangers identifying and evaluating risk scores of the dangers are two steps of the risk management that lead to prioritize identified dangers and  help decision makers to allocate the necessary resources based on aforesaid steps.
Methods: In this descriptive study, the dangers in workstations in a steel industry were identified and evaluated by the used of predictive risk index (PRI). To achieve this goal, risk index was calculated by a geometric averaging equation for all the dangers, and the PRI was defined by using MA (2) model. After overlapping occurred events and PRI trend, the ranges of the PRI were assigned as safe, warning and action modes, based on existence or lack of events on the PRI.
Results:Among all 107 identified dangers in the studied factory, the higher identified danger risk index was related to fire risk (9.74), explosion hazard and melt splashing on the workers (7.83). The highest frequency of identify hazards were related to the workstations furnace charging (25 hazards), furnace inspection (14 hazards), and the lower dangers were recorded in the workstations logistic and adding melting additive (one hazard). Evaluating of dangers was shown that the higher dangers were assigned to the action mode (48 hazards) and fast actions were needed to be taken.
Conclusion:Identifying and evaluating dangers by methods such as PRI, which has fast and easy to function, and it can be used for several applications and save more time.
 
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Type of Study: Applicable | Subject: Safety and occupational accidents
Received: 2016/02/22 | Accepted: 2017/01/2 | Published: 2017/11/16

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