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Advisor(s)
Abstract(s)
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.
Description
Keywords
Predictive models Machine learning Retail sector
Citation
Sena, Inês; Fernandes, Florbela P.; Pacheco, Pires, Abel A.C.; Maia, Jaime P.; Maria F.; Pereira, Ana I. (2021). Occupational behaviour study in the retail sector. In International Conference on Optimization, Learning Algorithms and Applications: book of abstracts. Bragança: Instituto Politécnico. ISBN 978-972-745-291-0