TVET today, 4th Industrial Possible implications for TVET and the … · TVET today, 4th Industrial...
Transcript of TVET today, 4th Industrial Possible implications for TVET and the … · TVET today, 4th Industrial...
TVET today, 4th Industrial
Revolution tomorrow –
Possible implications for TVET and
the labour market in Viet Nam
Dr. Horst Sommer and Lisa-Marie Kreibich
Programme Reform of TVET in Viet Nam
Hanoi, 14. September 2017
Implemented by
Outline
1. Introduction to the 4th Industrial Revolution
2. Definition of Industry 4.0 and Initiatives
3. General Assumptions, Implications and
Predicted Impacts for the Labour Market
4. Tendencies of Industry 4.0 as Relevant Drivers
for Adjustments in TVET
5. Example of Change Processes in Specific
Sectors: Manufacturing and Electrical Industry
6. Challenges for TVET in Viet Nam
2013 Portfolio Presentation GIZ in Viet Nam 9/18/2017
Implemented by
1. Introduction to the 4th Industrial Revolution
Digitalisation and Industry 4.0 are key features of a fourth industrial revolution:
The four industrial revolutions (graphic by [Kagermann et al., 2013], translated from German)
1. Introduction to the 4th Industrial Revolution
Digitalisation and Industry 4.0 are key features of the 4th industrial revolution:
1. Introduction to the 4th Industrial Revolution
Digitalisation: Collection and processing of digital data plays a crucial role in
Industry 4.0 production and business cycles:
2. What is Industry 4.0?
• Refers to a new stage of technological change (“4th Industrial Revolution”)
• Aims are:
• to develop highly automated, interconnected and smart production
processes
• to include and optimize all phases of a product life cycle digitally:
Idea, development, production, use, maintenance and recycling
• Based on digitalisation, robotics, sensor technology, cyber-physical
systems and Big Data
• What is new about it?
• the possibilities that digital interconnection offers (e.g. man-
machine interaction)
• not only the large-scale use of computers and ICT in the production
process
3. General Assumptions and Implications
• Currently: More questions than answers
• Central question: How will the man-machine interaction look like?
• Will technology guide the human (“autonomous automation”) or will the
human guide the technology (“hybrid collaboration”)?
• The higher the potential automation of tasks performed within a
profession, the higher the risk for job losses !?
• The lower the potential automation of tasks performed within a
profession, the lower the risk of job losses !?
• In either case: The employee needs to have the needed or be ready to
acquire the needed competencies and skills to ensure employability
3. General Assumptions and Implications
Digitalization / Industry 4.0 : What about jobs, employment if the robots take
over? From a contradictionary debate:
Pessimistic Scenarios
• Frey / Osborne forecast: „around
47 % of total US employment is at
risk because of Industry 4.0“ (THE
FUTURE OF EMPLOYMENT: HOW SUSCEPTIBLE ARE
JOBS TO COMPUTERISATION? / 2013)
• World Economic Forum: „Current
estimates of global job losses due
to digitalization range from 2 million
to as high as 2 billion by 2030.
There is great uncertainty about
the overall impact of digital
transformation on jobs, with
concerns also about its impact on
wages and working conditions“ (World
Economic Forum White Paper Digital Transformation of
Industries: Societal Implications / 2016)
Optimistic Scenarios
• Boston Consulting Group: „
Industry 4.0 will promote job growth
(but stakeholders must help the
workforce adapt) (https://www.bcg.com/en-
in/d/press/28september2015...)
• VDMA (Germany): „Replacement
of workers can‘t be observed - even
there is third highest density of
robots worldwide in Germany – but
new kinds of working organization
with new and higher challenges of
man-robot-collaboration come up –
with increasing numbers of jobs –
but in new formed qualification
requirements“ (VDMA Nachrichten 07-2016)
3. Predicted Impacts on the Labour Market in Viet Nam
ILO: ASEAN in transformation: the future of jobs at risk of automation
(2016)
• Around 56% of all employment in ASEAN-5 (Cambodia, Indonesia, the
Philippines, Thailand and Viet Nam) has a high risk of automation
• Viet Nam has the highest probability of automation (70%)
• Also due to the labour market structures: in Viet Nam the share of low-
skilled elementary occupations in total employment is highest higher
risk of automation
• ILO conculsion: a higher skill level is necessary
4. Tendencies in technology, business and work processes
of Industry 4.0 as relevant drivers for adjustments in TVET
Main specific technological Industry 4.0 related tendencies as drivers
for adjustments in TVET:
• Cyber-Physical-Systems / Internet of Things
• Additive processes / 3D printing
• Robotics
• Web 2.0 / mobile devices
• Wearables / augmentation
Main cross-cutting technological Industry 4.0 related tendencies as
drivers for adjustments in TVET:
• Data protection & security / privacy
• Big data
• Interdisciplinary cooperation
• Innovation / flexibility / mobility
4. Tendencies in technology, business and work processes
of Industry 4.0 as relevant drivers for adjustments in TVET
!
5. Change processes in selected specific sectors and
related requirements for TVET adjustments
Manufacturing / Metal and Electrical Industry
Now: a gradually & continuing diffusion of Industry 4.0 in production &
work processes (depending from type / size of companies), combined with
stronger
• automation – embedded in cyber-physical systems
• technical networking
• use of applications of decentral artificial intelligence
• digitalisation of processes and workflows
• importance of context related data, their collection, processing and
interpretation
• combination / fusion of informational and production processes
Source: Spöttl (2016) bayme vbm studie – Industrie 4.0 – Auswirkungen auf Aus- und Weiterbildung in der M+E Industrie
5. Change processes in selected specific sectors and
related requirements for TVET adjustments
Manufacturing / Metal and Electrical Industry
Now: Combined with trends related to some types / clusters of companies:
1. Companies without Industry 4.0 integration:
• no changes in direct production; however effects in indirect production / work /
business processes
• small influence requirements on adjustments of qualifications of employees
2. Companies with low Industry 4.0 integration:
• slight increase of implementation of elements as described above in production /
work / business processes
• visible requirements on related adjustments of qualifications of employees
3. Companies with high Industry 4.0 integration:
• partial up to comprehensive implementation of elements as described above in
production / work / business processes
• strong requirements on related adjustments of qualifications of employees
Source: Spöttl (2016) bayme vbm studie – Industrie 4.0 – Auswirkungen auf Aus- und Weiterbildung in der M+E Industrie
5. Change processes in selected specific sectors and
related requirements for TVET adjustments
Manufacturing / Metal and Electrical Industry
Categories of occupations related to the relevance to Industry 4.0 (German opinion):
Category 1 (with close proximity to Industry 4.0)
• Electronics technician for automation technology
• Mechtronics
• Industrial mechanic
• Specialist for Informatics
Category 2 (with close to medium proximity to Industry 4.0)
• Electronics in operation and maintenance
• Machining mechanics
• Electronics for systems and devices
• Electronics for IT systems
Category 3 (with medium to low proximity to Industry 4.0)
• Production technologist
• System mechanics
• Tool mechanics
Source: Spöttl (2016) bayme vbm studie – Industrie 4.0 – Auswirkungen auf Aus- und Weiterbildung in der M+E Industrie
5. Change processes in selected specific sectors and
related requirements for TVET adjustments
Recommendations on adjustments of qualifications of occupations related to their
relevance to Industry 4.0:
Category 1 (close proximity to Industry 4.0) & Categorie 2 (close to medium
proximity to Industry 4.0)
• Revision of occupational / competence profiles on short notice
• Adjustment of profiles against requirements of Industry 4.0 by derivation of additional competences
from demands of industry
• Formulation of modifications / supplements in occupational / skills standards
• Elaboration of related curricula (to be decided to be implemented in intitial or further training)
• Setting up schemes for pre- and in-service training for TVET teachers and in-company trainers as
well as modes of school- and company based training
• Elaboration / development of related teaching and learning media and environments
Category 3 (medium to low proximity to Industry 4.0)
• Revision of occupational / competence profiles in a mid-term perspective – with view, that they will
be affected within around next 2 years Follow same / comparable process as above
Category 4 (low proximity to Industry 4.0)
• Investigation and derivation of demands of related competences in terms of basic competences /
generic qualifcations in occupational profiles
Source: Spöttl (2016) bayme vbm studie – Industrie 4.0 – Auswirkungen auf Aus- und Weiterbildung in der M+E Industrie
Qualifications and skills of workers in a factory of the future ( VDMI /ASME)
5. Change processes in selected specific sectors and
related requirements for TVET adjustments
5. Summary of Trends and Challenges (Source: BiBB; Germany)
• Generally increasing importance of IT knowledge
• Control and problem-solving competence in demand
• In automated processes, vocational learning needs to be structured
differently (errors/stoppages pose too much of risk)
• More of the learning must be organised in separate locations, e.g. in virtual
learning environments
• Corresponding learning opportunities need to be kept in mind at an early
stage when production facilities are being designed
• Companies are cooperating more with partners in higher education sector
to train next generation of skilled workers
• But must not leave this field to higher education alone, particularly as no
uniform standards exist yet
• TVET 4.0 must develop its own concepts – including new partnerships
between learning venues and hybrid qualification routes in collaboration
with higher education, e.g. in context of advanced vocational qualifications
Thank you for your attention.
More Information: www.tvet-vietnam.org
eLibrary: http://www.tvet-vietnam.org/en/topic/31.elibrary.html
Seite 19 2013 Portfolio Presentation GIZ in Viet Nam 9/18/2017
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