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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
Data analysis Predictive models Health and safety
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 Pereira, Ana I.; Fernandes, Florbela P.; Coelho, João Paulo; Teixeira, João Paulo; Pacheco, Maria F.; Alves, Paulo; Lopes, Rui Pedro (Eds.) Optimization, learning algorithms and applications: first International Conference, OL2A 2021. Cham: Springer Nature. p. 617-629. ISBN 978-3-030-91884-2
Publisher
Springer Nature