Presentation within the special session on Industry 4.0 at the I-Know conference 2015.

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INDUSTRY 4.0
Ralf Klamma (RWTH Aachen), Martin Wolpers (Fraunhofer FIT)

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Special Session Agenda
14:00-15:15 Industry 4.0
14:00-14:15 Introduction by Martin Wolpers, Ralf Klamma
14:15-14:45 Learn but Work! Towards Assisted Self-directed Learning
Mario Aehnelt
14:45-15:00 Assist.- and Knowl.-Services for Smart Prod.
Michael Dietrich
15:00-15:15 Requirements and challenges to employees and managers in the
era of industry 4.0.
Martin Wolpers

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SIG WELL
http://ea-tel.eu/special-interest-groups/well/

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J.UCS – Papers invited!
http://www.jucs.org/

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About the authors - Mario Aehnelt
Fraunhofer IGD in Rostock, Deutschland.
Working area
Erforschung von Assistenztechnologien zur Verschränkung von Wissens-, Lern-
und Arbeitsprozessen im Bereich Produktion und Wartung
Focus
kognitive Automatisierung von manuellen Arbeitsprozessen in der
Montage.

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About the authors - Michael Dietrich
Senior Software Engineer am Center for Learning Technology im Deutschen
Forschungszentrum für Künstliche Intelligenz (DFKI)
Working area
Entwicklungen im Bereich der KI-basierten Systeme
Projektübersicht:
 FRP 7 Math-Bridge Projekt
 BmbF Verbundprojekt "Praktische klinische Kompetenz"
 EFRE geförderten Projekt “Kompetenzbrücken”

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Zu den Vorträgen
Learn but Work! Towards Assisted Self-directed Learning
Mario Aehnelt
Assist.- and Knowl.-Services for Smart Prod.
Michael Dietrich
Requirements and challenges to employees and managers in the era of
industry 4.0
Martin Wolpers

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Requirements and challenges to
employees and managers in the era of
industry 4.0.
Dr.-Ing. Martin Wolpers
Fraunhofer Institut für
Angewandete Informationstechnik FIT
Maik Kiesel, Sciforma GmbH

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Digitalization  Internet of Things and Services
Hand wrting – Books – eReader
Music Instrument – Disk – CD - Streaming
Film – CD – Netflix
Theater – TV – Youtube
Letter – Email – SMS – Facebook
Object – Identification – Communication – „Intelligence“

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Change in Workplace Learning (IoT, IoS, Smart, Big
Data)
 Serious games
 Learning at the workplace
 Learning supported by new sensors
 AR/VR
 Wearables
 Smart clothing
Learning @ computer Learning with the computer

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Industrie 4.0 – What?
http://de.slideshare.net/PeterSchorn/20140128-prsentation-industrie-club-bs-industrie-40?qid=1839b79f-ac92-4fda-a377-
52e4e7562d1e&v=default&b=&from_search=4

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Networking systems and data
Integrierte Forschungsagenda Cyber-Physical Systems, Eva Geisberger / Manfred Broy (Hrsg.), acatech Studie, März
2012

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Digitalization and Industry
Changed manufacturing environments influence development of workforce
Wissensbasiert
e Arbeitsplätze
in der
Produktion
Demographic
Change
Virtual
Engineering
Industry 4.0
Skills Shortage
Challenges for
vocational training

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Examples for new approaches to vocational training
Time reduction for introducing new
technologies and processes
Change of work from production to
control, maintenance, etc.
Change of production line
organisation (projects for higher
flexibility)
Cost reduction for introducing new
technologies and processes

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Project-based industrial production
Implemented through project management
Pre-sales Specification Implementation

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Stakeholders industrial production
Production line
management, project manager, sales department, department manager, project
collaborators, resource managers, controlling and the purchase department,
! external project collaborators !
! suppliers and the customer !
(Resulting) activities
Extending above with project collaborators (illustrator, constructor, developer,
hardware developer, software developer, process developer, technician, etc. )
 Very well developed communication skills required

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Communication in project-based industrial production
All stakeholders have direct access to information channels via devices and
softfare tightly integrated into the workplace and –process.
Example
A production line worker comments on the production process directly and
immediately.
 Detailed overview provided and direct control enabled

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Missing skills and competences
These competences are recognized
as most important (next to 21st
century skills) by Industry 4.0
companies.
Vocational training in companies
often does not address them.
Recognize and improve once own skills
and deficits
Creativity
Problem solving
Cooperation / Collaboration
Communication / knowledge Exchange

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Lot‘s unclear…
Vocational training in the Industry 4.0
context
 Collaborative Learning
 Self-reflective Learning
 Informal Learning
 On-the-fly
 On-the-workplace
 Serious gaming
 Mentoring Concepts
 Adaptive and personalized learning
assist systems
Theories long known.
Currently unknown are the most suitable
combinations of them.
Few experiences with Industry 4.0 related
vocational training scenarios.

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Education – A „possible“ Future
 New ways for collaboration – Collaborative Learning
 (Big) Data Analysis enables better personalization – Individual Adaptation of
learning material, -presentations and pedagogy
 Better realization for „new“ pedagogical concept – more efficient and effective
Learning
 Increase in Motivation – Teaching and Learning makes Fun
 Power of endurance – complete learning endeavors

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Thanks for your attention!
Dr.-Ing. Martin Wolpers
martin.wolpers@fit.fraunhofer.de
+49 2241 14 21 28
http://www.fit.fraunhofer.de/de/fb/cscw/caple.html