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1 Objectives

This IO targets at creating the best environment for the development of the new frame of
training and assessment to convert personnel from traditional manufacturing to digital
manufacturing which produces lower impact to the environment.

This IO is dedicated to the gathering of information (Delphi analysis using specific surveys) that
is necessary for the harmonization of the knowledge involved in the transition to the digital and
green manufacturing. Also, it is important to understand the needs and expectation of trainer
in terms of green and digital education.

2 Introduction

Environmental, and demographic changes, alongside globalisation, are changing the nature of
work, the content of jobs, and the demand for training. To adapt to these changes, it is important
to ensure that individuals are equipped with the skills to adapt to the present demands and
future changes and avoid the risk of job loss.
Education and Training represent the principal means through which individuals acquire skills
and competences. And it is through participation in continuous professional development and
learning that adults will access, on an ongoing basis, the upskilling and reskilling necessary to
adapt to the continuous changes.

Digitalisation (how automation will affect the demand for skills) and greening of the economy
(with the emergence of new ‘green jobs’) are affecting the demand for skills. Evidence suggests
that the overall impact of technological change on employment levels continues to be positive
and that digitalisation/automation is bringing about an increased demand for highly skilled and
qualified workers, that changes in the composition of tasks which comprise a job (often to the
benefit of the individual worker where hard physical toil can be undertaken by machines) and
that some jobs are disappearing and new ones emerging. Globalisation and the greening of the
economy are also seen to favour highly skilled and qualified workers [1].

Digitalization at work refers to the trend of using automation technologies in the workplace,
often to replace routine tasks. This development is influenced by (and influences) the changing
nature of work and occupations in particular sectors and areas, demanding new sets of
knowledge and competencies that cannot be acquired through traditional modes of learning.
Such changes call for the reskilling or upgrading of low-skilled workers in occupations with a high
risk of job automation. [2].

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