Production management involves many activities. In order to deal with Industry 4.0 requirements, many systems have developed solutions to gather real-time information from the shopfloor for more reliable decision-making. Empirical studies have been showing that this has created a tremendous overload of information to be handled by managers, causing stress, incorrect analyses and sometimes guessing-based decision-making, especially in SMEs. Using data analytics and maturity models concepts, this work shows Livia, a softbot with chatting capabilities. Deployed in a cloud and working on companies’ shopfloor information got via a MES system, Livia helps managers to identify their main problems, suggests corrective actions, and proactively performs many supporting actions. Results are presented and discussed in the end.
CITATION STYLE
Abner, B., Rabelo, R. J., Zambiasi, S. P., & Romero, D. (2020). Production Management as-a-Service: A Softbot Approach. In IFIP Advances in Information and Communication Technology (Vol. 592 IFIP, pp. 19–30). Springer. https://doi.org/10.1007/978-3-030-57997-5_3
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