Volume 16, Issue 4 (2019)
ioh 2019, 16(4): 22-34 |
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Falahati M, Karimi A, Zokaie M, Biabani A, Faghihnia Torshizi Y, salehi F. Development and Validation of Active Performance Indicators of Electrical Safety Using Bow-Tie and Bayesian Network Techniques Case Study: Oil and Gas Industries Construction Projects. ioh 2019; 16 (4) :22-34
URL: http://ioh.iums.ac.ir/article-1-2616-en.html
URL: http://ioh.iums.ac.ir/article-1-2616-en.html
Mohsen Falahati * 
, Ali Karimi , Mojtaba Zokaie , Azam Biabani , Yoosef Faghihnia Torshizi , Farhad Salehi
, Ali Karimi , Mojtaba Zokaie , Azam Biabani , Yoosef Faghihnia Torshizi , Farhad Salehi
Saveh University of Medical Sciences , falahati.mohsen64@gmail.com
Abstract: (3466 Views)
Background:
With the developing use of electricity in all aspects of human life, electricity accidents have also increased. One of the main components of the for the prevention policy, is the safety performance assessment of the organization's or industry's by using appropriate performance indicators with related operations.
Method:
This study was a descriptive-analytical of 6 steps including: analysis of work Breakdown Structure of the project, preliminary hazard analysis of the operation, the establishing of the accident causal network, determination of control measures, extraction of active performance indicators and validation of the indicators.
Results:
In this study, the probability of occurrence of electric shock was 0.053 calculated using the method of BN and 11 active performance indicators were developed. The R-square value of the incident frequency with the active indicators of the total project was 0.819 and P-value was less than 0.05. Therefore, these results indicate that the correlation between incident frequency as an associated variable and active indicators as independent variables in the whole project is significant.
Conclusion:
As the project progresses, the nature and level of risk of the operation of construction projects is changing. Therefore, indicators of safety performance measurements in these projects should be sensitive to rapid changes. For this reason, active indicators with a short-term measurement period are more effective in measuring the safety performance of construction operations.
With the developing use of electricity in all aspects of human life, electricity accidents have also increased. One of the main components of the for the prevention policy, is the safety performance assessment of the organization's or industry's by using appropriate performance indicators with related operations.
Method:
This study was a descriptive-analytical of 6 steps including: analysis of work Breakdown Structure of the project, preliminary hazard analysis of the operation, the establishing of the accident causal network, determination of control measures, extraction of active performance indicators and validation of the indicators.
Results:
In this study, the probability of occurrence of electric shock was 0.053 calculated using the method of BN and 11 active performance indicators were developed. The R-square value of the incident frequency with the active indicators of the total project was 0.819 and P-value was less than 0.05. Therefore, these results indicate that the correlation between incident frequency as an associated variable and active indicators as independent variables in the whole project is significant.
Conclusion:
As the project progresses, the nature and level of risk of the operation of construction projects is changing. Therefore, indicators of safety performance measurements in these projects should be sensitive to rapid changes. For this reason, active indicators with a short-term measurement period are more effective in measuring the safety performance of construction operations.
Type of Study: Applicable |
Subject:
Safety
Received: 2018/11/19 | Accepted: 2019/07/17 | Published: 2019/12/25
Received: 2018/11/19 | Accepted: 2019/07/17 | Published: 2019/12/25
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