Volume 5, Issue 2 (7-2015)                   JHSW 2015, 5(2): 13-22 | Back to browse issues page

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Laal F, Barkhordari A, Halvani G H, Mirzayi R. Predicting the indicators of the safety performance monitoring after implementation of integrated management system (IMS) in a combined cycle power plant in Yazd city. JHSW. 2015; 5 (2) :13-22
URL: http://jhsw.tums.ac.ir/article-1-5279-en.html
1- , rammir277@gmail.com
Abstract:   (8346 Views)

Introduction: Each year tens of millions of labors are victims of occupational incidents leading to the disablement or death of many of them. The present study has been conducted with the aim of predicting the performance monitoring indicators of incident after implementation of the integrated management system in order to reduce number of incidents, safety monitoring, and giving priority to safety programs in the organization policies.


Matherial and Methods: Using safety performance indicators, this descriptive-analytical study has been done in two stages in a combined cycle power plant on 254 incidents before the implementation (2004) and the years after the implementation of integrated management systems(a seven year period). The required data was gathered through checklist and interview with the injured workers. Kolmogorov-Smirnov, Chi Square, and Cubic regression tests were utilized for data analysis at significance level of 0.05.


Results: Of the 1131 labors during a seven year period, 254 occupational incidents were recorded. The highest value of accident frequency rate was in 2004 (32.65) while the highest accident severity rate was in the year 2008 (209). Moreover, the lowest frequency rate and severity rate were related to the year 2011 with value of 9.75 and 29.26, respectively. Regression graphs, between the observed values and the estimated values, showed that the coefficients of all the indicators, except for β1of ASR,are significant(P< 0.05) as expected. This result implies the improvement in the safety performance and integrated management systems.


Conclusion: Findings show that Cubic regression can be an appropriate to olforinvestigating the indicators trends and for their predictionin planning and monitoring the performance ofsafety unitso that the decision-making for determining the priority of organizations’ safety programs would be facilitated.

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Type of Study: Research | Subject: Special
Received: 2015/07/11 | Accepted: 2015/07/11 | Published: 2015/07/11

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