Volume 8, Issue 3 (9-2018)                   JHSW 2018, 8(3): 283-298 | Back to browse issues page

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Cheraghi M, Omidvar B, Eslami-Baladeh A A, Jafari H R, Younesi A M. Corrective Actions Selection in the Safety Risk Management Process Using Mathematical Modeling. JHSW. 2018; 8 (3) :283-298
URL: http://jhsw.tums.ac.ir/article-1-5908-en.html
1- M.Sc., Department of Health, Safety and Environment (HSE), Graduate Faculty of Environment, University of Tehran, Tehran, Iran , cheraqi@ut.ac.ir
2- Associate Professor, Department of Environmental Engineering, Graduate Faculty of Environment, University of Tehran, Tehran, Iran
3- M.Sc., Department of Industrial Engineering and Management System, Amirkabir University of Technology, Tehran, Iran
4- Professor, Department of Environmental Engineering, Graduate Faculty of Environment, University of Tehran, Tehran, Iran
5- M.Sc., Department of Chemical Engineering, Energy Institution of Higher Education, Saveh, Iran
Abstract:   (454 Views)

Introduction: Risk assessment is a main tool in safety management process as it can help managers to choose corrective actions by providing appropriate information. The purpose of this paper was to select the optimal corrective actions among the proposed ones by the experts based on mathematical modeling, taking into account the standards and also the limitations including the cost.

Material and Method: In this paper, a model was presented to find the optimal corrective actions regarding the organization goals (maximum in risk reduction value) and the limitations such as cost and level of acceptable risk. Due to extensive number of solutions, Genetic Algorithm (GA) is used for solving the problem.

Result: To show the capability of this method in an industrial environment, a power generation industry with 40 hazards was considered as the case study. Then, the risk of hazards was estimated and corrective actions were determined for each of them. Using the proposed model, corrective actions were selected optimally, with the least possible cost; all risks were reduced below the level of organizational acceptable risk.

Conclusion: It was shown that the optimal corrective actions using mathematical modeling are selected with high precision in acceptable time. This method is suggested as an alternative for conventional qualitative methods based on expert’s opinions.

Full-Text [PDF 703 kb]   (142 Downloads)    
Type of Study: Research | Subject: Special
Received: 2018/09/26 | Accepted: 2018/09/26 | Published: 2018/09/26

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