USE OF NEURAL NETWORKS IN SAFETY MANAGEMENT AT THE WORKPLACE OF EMPLOYEES WITH DISABILITY
The problem of safety management at the workplaces of workers with disabilities is one of the key issues when solving the problem of employment of a person with stable functional changes in his health status at the workplace in an enterprise conditions. An employer who, according to legislation, is responsible for ensuring safe work conditions at the workplace, in most cases connects the employment of a person with a disability with a possible increase of the injury level. The rational selection of the workplace, taking into account the limitations of life activity caused by human health, makes it possible to formalize this process, giving the employer the opportunity to make well-grounded decisions subject to safety requirements. The article discusses the basic principles of developing and using an artificial neural network in solving the issue of selecting a workplace for a person with a disability that may have different life-limiting, in order to reduce the degree of discrepancy between the employee's health status and specifics of work activity. Network input signals are conditioned by the life limitations of a person with disability. The output signals of the neural network are the coefficients that characterize the level of discrepancy in the employee's employment at the workplace, which is characterized mainly by physical activity, mental activity, or psycho-emotional and sensory activity.
The use of artificial neural networks is a perspective direction in managerial decision-making, particularly in the field of workplace safety for workers with disabilities. The principle of creation an artificial network allows to take into account the life limitation of a person with stable functional changes in health status, as well as to provide sufficient efficiency and flexibility of the management decision-making process, taking into account the context of production activity.
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