Background: By investigating accidents in industries, it can be concluded that a significant proportion of work-related accidents occur in the construction industry. The present study aimed to apply a hybrid model in identifying and prioritizing risks in a construction project with new machinery.
Methods: In this study, the methodological shortcomings of the traditional failure mode and effects analysis (FMEA) method and the need to prioritize control measures were modified by the analytical hierarchy of process (AHP). The FMEA was used for risk identification and risk assessment in the elevated highway construction project, then AHP accidents were prioritized according to their physical, psychological, economic, and socio-political burden.
Results: In the AHP structure, several sub-criteria for each criterion were considered and weighted for each item. The five activities included crane collapse, falling from a height, collapse, and electrocution devices that their risk priority number is more than 250 weighted by the AHP.
Discussion: Based on the literature, the traditional FMEA has many shortcomings that need to be corrected by other methods. This study aimed to modify the traditional FMEA method using a hybrid model.
Conclusion: The findings of this study showed that in urban projects, hazards threaten workers, citizens, and company properties. In addition to accidents, deaths, and injuries, they have negative consequences, such as health, psychological, economic, and socio-political impacts. Accidents cause loss of human life, worker's mental health problems, damage to equipment or property, worker's productivity loss, and affect the profit and reputation of the organization. Due to many deficiencies of the conventional risk priority number (RPN) in the FMEA method, it was criticized, and to enhance the performance of the FMEA in risk analysis, various risk priority models have been proposed.
Multiple hierarchy risk assessment with hybrid model for safety enhancing of unmanned subscale BWB demonstrator flight test
