In the context of Industry 4.0, this paper focuses on integration of workers in the digitalized factory. It proposes a method to design an IoT infrastructure and acquire human-related data from a production site in order to improve workers wellbeing and overall productivity. The method permits to identify bottlenecks and criticalities from a social point of view, focusing on the human performance, and define corrective actions at different levels (operations, plant layout or shift management). A case study was developed in collaboration with an Italian sole producer to validate the method and the related data acquisition system.

Gregori, F., Papetti, A., Pandolfi, M., Peruzzini, M., Germani, M. (2018). Improving a production site from a social point of view: An IoT infrastructure to monitor workers condition [10.1016/j.procir.2018.03.057].

Improving a production site from a social point of view: An IoT infrastructure to monitor workers condition

Peruzzini, Margherita;
2018

Abstract

In the context of Industry 4.0, this paper focuses on integration of workers in the digitalized factory. It proposes a method to design an IoT infrastructure and acquire human-related data from a production site in order to improve workers wellbeing and overall productivity. The method permits to identify bottlenecks and criticalities from a social point of view, focusing on the human performance, and define corrective actions at different levels (operations, plant layout or shift management). A case study was developed in collaboration with an Italian sole producer to validate the method and the related data acquisition system.
2018
Procedia CIRP
886
891
Gregori, F., Papetti, A., Pandolfi, M., Peruzzini, M., Germani, M. (2018). Improving a production site from a social point of view: An IoT infrastructure to monitor workers condition [10.1016/j.procir.2018.03.057].
Gregori, Fabio; Papetti, Alessandra; Pandolfi, Monica; Peruzzini, Margherita; Germani, Michele
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/952247
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