“Artificial Intelligence Model Based on Grey Clustering to Access Quality of Industrial Hygiene: A Case Study in Peru“
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Date
2023-03-03Author(s)
Delgado, Alexi
Condori, Ruth
Hernández, Miluska
Lee Huamani, Enrique
Andrade-Arenas, Laberiano
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“Industrial hygiene is a preventive technique that tries to avoid professional illnesses
and damage to health caused by several possible toxic agents. The purpose of this study is to
simultaneously analyze different risk factors (body vibration, lighting, heat stress and noise), to obtain
an overall risk assessment of these factors and to classify them on a scale of levels of Unacceptable,
Not recommended or Acceptable. In this work, an artificial intelligence model based on the grey
clustering method was applied to evaluate the quality of industrial hygiene. The grey clustering
method was selected, as it enables the integration of objective factors related to hazards present in
the workplace with subjective employee evaluations. A case study, in the three warehouses of a
beer industry in Peru, was developed. The results obtained showed that the warehouses have an
acceptable level of quality. These results could help industries to make decisions about conducting
evaluations of the different occupational agents and determine whether the quality of hygiene
represents a risk, as well as give certain recommendations with respect to the factors presented.“
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