Journal of Health and Safety at Work

Introduction: Occupational accidents are of the main issues in industries. It is necessary to identify the main root causes of accidents for their control. Several models have been proposed for determining the accidents root causes. FTA is one of the most widely used models which could graphically establish the root causes of accidents. The non-linear function is one of the main challenges in FTA compliance and in order to obtain the exact number, the meta-heuristic algorithms can be used.

.

Material and Method: The present research was done in power plant industries in construction phase. In this study, a pattern for the analysis of human error in work-related accidents was provided by combination of neural network algorithms and FTA analytical model. Finally, using this pattern, the potential rate of all causes was determined.

.

Result: The results showed that training, age, and non-compliance with safety principals in the workplace were the most important factors influencing human error in the occupational accident.

.

Conclusion: According to the obtained results, it can be concluded that human errors can be greatly reduced by training, right choice of workers with regard to the type of occupations, and provision of appropriate safety conditions in the work place.

Introduction: By industrialization, work-related accidents emerged as one of the most threatening factors of human life therefore analyzing the causes of accidents and providing control measures to prevent reoccurrence of similar accidents are of crucial importance.
 

Method and Materials: This is an analytical-descriptive study in which the collected data were analyzed using Ishikawa and SCAT methods and results related to the relationships between variables were examined. In this sense, first, accidents leading to amputations associated with operating with press machines (stuck between two objects) were analyzed by Ishikawa method and the obtained causes were classified into three groups: direct causes, interface causes, and root causes. Then, the obtained causes and the control measures were placed in SCAT table. The effect of causes of accidents and their ranking were determined using Chi-Square Test and Friedman's test, respectively. Accordingly, appropriate control measures were provided based on the accidents causes.
 

Results: The most significant interface causes is hurry at work the most significant root causes is inappropriate and ineffective supervision and the most important control measures is establishing effective HSE management system in the organization.
 

Conclusion: According to results, the main interfce causes of accidents leading to amputation due to operating with press machines is hurry at work because of increased production volume particularly by contractor companies. Furthermore, non-dynamic HSE system accompanied by ineffective supervision of personnel’s unsafe acts by the first layers of management are recognized as the basic causes of such accidents.