Purpose: To develop a mathematical model for predicting the workplace environmental
physical factors values.
Design/methodology/approach: Experimental measurements of the harmful and
dangerous physical factors values of workplace environmental were carried out using
special certified equipments. For each physical factor, 200 measurements were carried out.
The workplace choice is justified by the employees’ survey and specialists’ expert evaluation
results. Prediction methods that can be used to predict the workplace environmental
physical factors values have been analyzed analytically. Working conditions assessment
was carried out in accordance with the classification of working conditions for workplace
harmfulness and danger, which function in Ukraine.
Findings: For a preliminary assessment of the impact of environmental physical factors on
workers, it is proposed to use the strict ranking method. It has been established that the
proposed mathematical models for predicting the workplace environmental physical factors
values (noise, dust, vibration, relative humidity) have an accuracy of more than 90% and can
be used for planning measures to working conditions improve.
Research limitations/implications: The results of a study of modelling and forecasting
the workplace environmental physical factors values at the enterprise for the manufacture
of glass and glass products at workplaces of transportation, preparation and mixing of
materials are shown. Mathematical models for four physical factors are presented: noise,
dustiness of air, vibration, relative humidity.
Practical implications: Mathematical models make it possible to predict the environmental
physical factors values (noise, vibration, dust, humidity) taking into account the specifics of
the production process, assess the hazard class and harmfulness of working conditions at
workplaces and justify the measures at labour protection.
Originality/value: For the first time proposed by the mathematical models for predict the
environmental physical factors values (noise, vibration, dust, humidity) taking into account
the specifics of the production process.