EVENT TREE ANALYSIS AS A TOOL FOR ASSESSMENT OF PROFESSIONAL RISKS AT WORKPLACES OF PERSONS WITH DISABILITIES
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Keywords:
employee with disabilities, occupational safety, risk assessment, event tree analysisAbstract
Modern world approaches in the area of prevention of occupational injuries are based on a risk-oriented approach whose purpose is to provide on the probative foundation of information base for decision-making on risk management in order to prevent an increase the level of injuries. Risk assessment is an important step in preventative work of injuries prevention at the workplace, which should be carried out by the employer according to the Law of Ukraine "On Occupational Safety", since the employer is responsible for creating appropriate and safe working conditions at the workplace. Risk assessment gains particular importance by the assessing the adequacy of safety measures at the workplace of a worker with disabilities. The vulnerability of this category of workers due to health problems leads to the need to pay increased attention from management to production equipment, process and environment. The uncertainty regarding to the health status of a worker with disabilities and the necessary working conditions to be ensured is due to the insufficient level of information support of source documentation, namely, the individual program of rehabilitation of a person with disability. The purpose of the article is to investigate the approach to risk assessment using an example of a worker’s place of employee with disability and the Event Tree Analysis (ETA) methodology with the determine of mechanism due regard for the characteristics of employees with disabilities in identifying hazards that could increase the risk of injuries to this category of workers. The representation of life limitation degrees specified in the IPR in the form of equivalent values of the probability of unwanted event occurrence – the employee’s fall at the workplace or the error associated with the execution of production operations on machine tools, allows to build an event tree and obtain quantitative risk values.
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