The health, safety, and well-being of employees, service
providers, and customers are important priorities for retail companies.
Based on this principle, an intelligent system that contributes to the
reduction of accidents at work will be developed, monitoring risk control,
preventing work-related illnesses, promoting a culture of zero accidents,
and seeking to ensure the health of employees, customers, and stakeholders.
In order to achieve such goals, it is necessary to determine the local
and global variables (internal and external) that feed the system. This
study comprises the first strategy applied to collect the local variables
involved in the problem. To obtain this, a data analysis study in a retail
store was performed. Data analysis procedures were performed namely
clustering analysis with algorithm k-means, correlation procedures, like
Pearson coefficient and matrix of correlation, and relationship analysis
with parallel coordinate graphs. From the preliminary results, it is
possible to indicate a set of local variables that have influence in the
occupational behavior and accidents at work.
The health, safety, and well-being of employees, service providers, and customers are important
priorities for retail companies. Based on this principle, an intelligent system that contributes
to the reduction of accidents at work will be developed, monitoring risk control, preventing
work-related illnesses, promoting a culture of zero accidents, and seeking to ensure the health
of employees, customers, and stakeholders. In order to achieve such goals, it is necessary to
determine the local and global variables (internal and external) that feed the system. This study
comprises the first strategy applied to collect the local variables involved in the problem. To
obtain this, a data analysis study in a retail store was performed. Data analysis procedures
were performed namely clustering analysis with algorithm k-means, correlation procedures, like
Pearson coefficient and matrix of correlation, and relationship analysis with parallel coordinate
graphs. From the preliminary results, it is possible to indicate a set of local variables that have
influence in the occupational behavior and accidents at work.
This work has also been supported by FCT - Fundação para a Ciência e Tecnologia within the Project Scope UIDB/05757/2020 and project iSafety Norte 2020 n. 072598.
