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A Knowledge-based Approach to Enhance the Workforce Skills and Competences Within the Industry 4.0

Authors:
Enrico Giacinto Caldarola
Gianfranco Emanuele Modoni
Marco Sacco

Keywords: Social Sustainable Manufacturing; Industry 4.0; Teaching Factory; Knowledge-Intensive Systems; Cyber-Physical Systems; Semantic Web.

Abstract:
One of the significant challenges of Industry 4.0 is the realization of a more sustainable manufacturing along the whole factory life-cycle, which has an impact on three different dimensions: economical, social and environmental. Whereas the economic and environmental dimensions have been widely discussed in many works and progressively integrated in production processes, there is still a shortage of studies aiming at incorporating the social dimension. Consequently, economic planning and policies lack the full acknowledgment of human rights, education, health and gender diversity. With this study, we aim at aligning the technological panorama of Industry 4.0 with the social dimension of sustainable manufacturing, by proposing a semantic model based framework as a reference architecture to enhance social sustainability in manufacturing. Finally, a case study is presented, in which factory environments try to meet workers capabilities and desiderata, by augmenting the quality of life and ensuring people health, at work or in their community during their entire life, while ensuring productivity.

Pages: 56 to 61

Copyright: Copyright (c) IARIA, 2018

Publication date: March 25, 2018

Published in: conference

ISSN: 2308-4375

ISBN: 978-1-61208-620-0

Location: Rome, Italy

Dates: from March 25, 2018 to March 29, 2018