Volume 4, Issue 1 (5-2014)                   J Health Saf Work 2014, 4(1): 55-64 | Back to browse issues page

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1- Department of Environmental Management, Faculty of Environment and Energy, Science and Research Branch, Islamic Azad University, Tehran
2- Department of Occupational Health Engineering, School of Public Health, Hamadan , mohammadfam@umsha.ac.ir
3- Department of Industrial Engineering, Kar University, Qazvin
4- Department of Industrial Engineering, School of Engineering, Islamic Azad University of Qazvin
Abstract:   (16768 Views)

Introduction: Nowadays, using multi attribute decision making (MADM) techniques in HSE hazard rating have been widely increased. On the other hand, Analytical Network process (ANP) methods has a high flexibility and accuracy in decision ranking. Therefore, the combination of the two mentioned approaches can provide a more precise prioritization for HSE hazards. Using ANP techniques, in this research a method for accurate rating of HSE hazards in the construction procedure of combined cycle power plant was presented.

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Material and Method: In this study, first, the overall structure and components of ANP method were identified and the connections between its components were determined. Then, the determined structure and components were modeled, using super decision software. In the next stage, pair companions were performed between an criteria and sub-criteria with respect to HSE experts opinions, Finally, selected HSE hazards were prioritized and compared according to the presented ANP method and the common available method.

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Result: According to the results, common risk assessment method is not able to prioritized risk accurately. While the current method classified the ten main identified hazards in 4 general categories, the presented method in this study could prioritized then in 7 categories.

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Conclusion: The suggested ANP model could provide a more accurate prioritization for hazards in comparison with current methods because of considering five qualitative indices. This allows an optimal allocation of organizational resources for controlling hazards.

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Type of Study: Research |
Received: 2014/04/29 | Accepted: 2014/04/29 | Published: 2014/04/29

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