Modeling and management of human resources in the reconfiguration of production system in industry 4.0 by neural networks

Abstract

In Industry 4.0, the role of employees changes significantly. Real-time production line control transforms job content. Work processes affect working conditions. The implementation of a socio-technical approach to the organization of work gives workers the opportunity to adapt their skills. Indeed, production work will become more and more multi-factor, especially with regard to control and decision-making tasks. In this paper, a proposal for an intelligent system for modeling skills and human resource management in the production system chain through the use of two artificial neural networks. The first NN1 network allows for the identification of the human factor, as well as the second NN2 network is reserved for valuing the human skills needed in Industry 4.0.