Multicriteria Methods in the Management of Psychosocial Risks in Smart Production Environments

Abstract

The digitalization of production systems
has amplified challenges related to
mental health and the management of
psychosocial risks at work. In this
context, it becomes necessary to
develop approaches capable of
structuring and prioritizing
factors that
impact workers' well-being.
This study proposes the use
of multi-criteria decision
support methods to analyze
these risks in smart production
environments. The approach allows
for the organization of multiple
criteria and supports decision-making
processes in complex organizational contexts.
The research methodology employed an adaptation
of the PRISMA method to
conduct a literature review.
As a contribution, the
study seeks to support
the use of multi-criteria
methods in identifying
priority factors and to
inform strategies aimed
at preventing psychosocial
risks and promoting mental
health at work.