The integration of advanced technologies, that the Industry 4.0 framework introduced, in the workplace environment requires the human workforce to adapt to the workplace changes. A rising concern is the role of older workers and how smoothly can they integrate in workplace environments with automation and cobotics. To this extent, we introduce a statistical model based on entropy and human factor sustainability concept. The aim of the proposed model is to calculate the level of uncertainty inside a collaborative workplace by computing the probability of error of human workforce. The probability is calculated by utilising the parameters and variables that governs the interactions between human operators and robotics – cyber systems. This computational model was tested in a complex workplace framework by usage of advanced ICT technologies and tasks of increased complexity. Results show that the age factor plays a role in the uncertainty inside the workplace

Human factor and entropy evaluation in collaborative workplace environment

Fruggiero F.
;
2021-01-01

Abstract

The integration of advanced technologies, that the Industry 4.0 framework introduced, in the workplace environment requires the human workforce to adapt to the workplace changes. A rising concern is the role of older workers and how smoothly can they integrate in workplace environments with automation and cobotics. To this extent, we introduce a statistical model based on entropy and human factor sustainability concept. The aim of the proposed model is to calculate the level of uncertainty inside a collaborative workplace by computing the probability of error of human workforce. The probability is calculated by utilising the parameters and variables that governs the interactions between human operators and robotics – cyber systems. This computational model was tested in a complex workplace framework by usage of advanced ICT technologies and tasks of increased complexity. Results show that the age factor plays a role in the uncertainty inside the workplace
2021
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11563/160146
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