The Energy Worker Profiler from Technologies to Skills to Realize Energy
Efficiency in Manufacturing
- URL: http://arxiv.org/abs/2301.09445v1
- Date: Mon, 23 Jan 2023 14:08:34 GMT
- Title: The Energy Worker Profiler from Technologies to Skills to Realize Energy
Efficiency in Manufacturing
- Authors: Silvia Fareri, Riccardo Apreda, Valentina Mulas, Ruben Alonso
- Abstract summary: The Worker Profiler is a software designed to map the skills currently possessed by workers.
It identifies misalignment with those they should ideally possess to meet the renewed demands that digital innovation and environmental preservation impose.
The tool has shown evidence of being user-friendly, effective in identifying skills gaps and easily adaptable to other contexts.
- Score: 1.290382979353427
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: In recent years, the manufacturing sector has been responsible for nearly 55
percent of total energy consumption, inducing a major impact on the global
ecosystem. Although stricter regulations, restrictions on heavy manufacturing
and technological advances are increasing its sustainability, zero-emission and
fuel-efficient manufacturing is still considered a utopian target. In
parallel,companies that have invested in digital innovation now need to align
their internal competencies to maximize their return on investment. Moreover, a
primary feature of Industry 4.0 is the digitization of production processes,
which offers the opportunity to optimize energy consumption. However, given the
speed with which innovation manifests itself, tools capable of measuring the
impact that technology is having on digital and green professions and skills
are still being designed. In light of the above, in this article we present the
Worker Profiler, a software designed to map the skills currently possessed by
workers, identifying misalignment with those they should ideally possess to
meet the renewed demands that digital innovation and environmental preservation
impose. The creation of the Worker Profiler consists of two steps: first, the
authors inferred the key technologies and skills for the area of interest,
isolating those with markedly increasing patent trends and identifying green
and digital enabling skills and occupations. Thus, the software was designed
and implemented at the user-interface level. The output of the self-assessment
is the definition of the missing digital and green skills and the job roles
closest to the starting one in terms of current skills; both the results enable
the definition of a customized retraining strategy. The tool has shown evidence
of being user-friendly, effective in identifying skills gaps and easily
adaptable to other contexts.
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