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© FIR e. V. an der RWTH Aachen
© A
ndre
as H
orsk
y
European Approach on Digitalization Prof. Dr. Volker Stich, Managing Director, FIR e.V. RWTH Aachen
Industry 4.0 Conference | 09th May 2017 | Ijmuiden, Netherlands
© FIR e. V. an der RWTH Aachen
Digitalisation: What is the future „NORMAL“ ?...
2017: 69 % of the citizens over
the age of 65 use a Mobile
Source: ARUP, 2014
453% more Internet users worldwide (Relation 2000 to 2013)
In 2017: 176 Mio. kids will be online (in 2012 „only“ 70 Mio)
© FIR e. V. an der RWTH Aachen
0
10
20
30
40
50
1990 1992 1994 1996 1998 2000 2002 2004 2006 2008 2010 2012 2014 2016 2018 2020
Conn
ecte
d O
bjec
ts (B
illio
ns)
Year
1992 1.000.000
2003 0,5 Billions
2009 Begin IoT
2012 8,7 Billions
2013 11,2 Billions
2014 14,4 Billions
2015 18,2 Billions
2016 22,9 Billions
2017 28,4 Billions
2018 34,8 Billions
2019 42,1 Billions
2020 50,1 Billions
2008 More connected objects
than People living on earth
Source: Cisco (2014) Source Icons: flaticon.com, lizensiert durch Creative Commons BY 3.0
Digitalisation: An (almost) unlimited network of Objects…
© FIR e. V. an der RWTH Aachen
Global Digitalization: pushed via Internet and it`s technologies
Each of us leaves trackable digital footprints, which identify: „what are we dooing, where and why?“
What`s happening in the internet / min?
~ 4,1 Mio Suchanfragen
~ 350.000 Tweets
~ 200.000 App Downloads
~ 6 Mio Aufrufe
~ 140.000 $ Umsatz
~ 100 Stunden Videoupload ~
650.
000
GB
/ m
inut
e Zettabyte
Exabyte
Petabyte
Terabyte
Gigabyte
Megabyte
1438 1878 1926 1969
1981
1991
1998
2007
2010
1.800 Milliarden GigaByte
Internet
Data volume
Jahr
„The world‘s information is doubling every two years.“
2004
Quellen: INTEL: What Happens In An Internet Minute, 2013 BITKOM: Big Data im Praxiseinsatz, 2012 FIR: KVD Service Studie, 2013
© FIR e. V. an der RWTH Aachen
The increasing connection of objects and rising variety of data characterize tomorrow’s (business)- environment
Papal election 2005 Papal election 2013
© FIR e. V. an der RWTH Aachen
The capability of using data and generating knowledge will differentiate “Digital champions” from “Digital losers”
6
For Companies success it‘s important,
To adopt and
to learn faster than others.
What does that mean?
| European Approach on Digitalization | 09th May 2017 | Ijmuiden, Netherlands | Prof. Dr. Volker Stich
© FIR e. V. an der RWTH Aachen
In Europe Industrie 4.0 is more focused on production than on user centric, internet based developments so far
? American way: Industrial Internet The European way: Industrie 4.0
In which departments do you already rely on Industrie 4.0 or plan its employment in the near future?
29% 86% Development Production
Source: Staufen, Studie Deutscher Industrie 4.0-Index, 2015, p. 4; multiple answers possible, n = 70
© FIR e. V. an der RWTH Aachen
Five paradigms characterize the behavior patterns of today’s “way of working”
Development of incremental product innovations.
Paranoia towards completion of tasks.
Specialization and optimization within departments.
Thinking in standards and acting in accustomed patterns.
Decentralized systems are not directed at comprehensive adaptions.
…associates progress with the enhancement of existing concepts.
…urges to complete things.
…categorizes and filters impressions based on experience and knowledge.
…develops resistance when fear evolves from unaccustomed circumstances.
…has limited ability for short-term adaptions.
THE HUMAN MIND…
…BEHAVIOR PATTERNS OF TODAY’S “WAY OF WORKING” ..HAS INFLUENCE ON..
© FIR e. V. an der RWTH Aachen
Example: Viessmann vs. Tado° - Traditional family owned business and one of the biggest European heating manufacturers versus a small Munic start-Up
Heating costs are about 350€ per month, in addition to the heating control, a timer is in use
One thermostat inside and outside control the temperature Usability only by numeric codes and hardly readable Heating system can be upgraded to enable controlld by app,
but a special controlling unit is required Technicians fail at the implementation, because of limited
compatibility between control unit and boilers
Starter-Kit for private use, full compatibility with all Viessmann boilers
Thermostat, control und wireless moduls are delivered together and can be installed by non-specialists
Sensors measure temperature throughout the house. System connects automated to the internet and send data to the app
Analysis of all data available (e.g. percentage of solar energy)
Amortization after 2 months
9 | European Approach on Digitalization | 09th May 2017 | Ijmuiden, Netherlands | Prof. Dr. Volker Stich
Viessmann
Start-ups are pushing between etablished heating manufacturer and customer and degrade them to simple supplier
tado°
© FIR e. V. an der RWTH Aachen
How can companies manage the path towards digitalization?
10 | European Approach on Digitalization | 09th May 2017 | Ijmuiden, Netherlands | Prof. Dr. Volker Stich
In order to successfully implement
the digital transformation, the specific positioning levers
must first be identified.
source: www.flemming.events
© FIR e. V. an der RWTH Aachen
Traditional businesses spent a lot of time on understanding unplanned events
11
Insight latency
Analysis latency
Decision latency
Action latency
Valu
e of
ada
ptat
ion
t
Typical reaction to unplanned event
Event delays/
loss of value
Insights about event become available
(Counter-)measure takes effect
(Counter-)measure approved
Analysis completed
Reducing latencies bears great potential
Organizational structure Culture
to reduce value losses !
Digital, agile businesses outperform traditional businesses because of lower latencies in the entire reaction chain
(Counter-)measure takes effect
Event
Valu
e of
ada
ptat
ion
t
time saved / increased value
Typical reaction to unplanned event
Real-time capability Systems integration A
Big Data Analytics Machine Learning and
Artificial Intelligence B
Decision support systems Automated decision
making C
Vertical and horizontal process and systems integration
Cyber-physical systems
D
Technological drivers of Industrie 4.0
A
B
C
D
Organizational structure Culture
© FIR e. V. an der RWTH Aachen
Iterative, fast Processes By iterative value chains errors can be early identified and productivity can be increased sustainable
© FIR e. V. an der RWTH Aachen
“Digital red thread” enables fast adaption of products, production and customer integration
13
CAD-Models
Work plans Feedback
Use of assistant systems
Fast Feedback about producibility Automated generation of work plans
Part 1
Part 2
Underbody
Body
Frame Front
Part 8
Customer Supplier Sales Design Product modelling Production Work plans
| European Approach on Digitalization | 09th May 2017 | Ijmuiden, Netherlands | Prof. Dr. Volker Stich
© FIR e. V. an der RWTH Aachen
Companies are currently failing with the implementation of Industrie 4.0
■ Companies need a precise development path for a holistic implementation of Industrie 4.0
■ An Industrie 4.0 roadmap is necessary to operationalize the implementation, to schedule the projects and to highlight the modifications of the organization
■ A well-structured roadmap supports benefit-oriented development of the company and enables modalities to ensure investments
14
Planned implementation of Industrie 4.0 in 2020 (State 2015)1
| European Approach on Digitalization | 09th May 2017 | Ijmuiden, Netherlands | Prof. Dr. Volker Stich
© FIR e. V. an der RWTH Aachen
Country comparison of Industrie 4.0 concepts to manage assets in 2015 and 2020 (compare Infosys/ FIR global asset efficiency study 2015)
In 2015 68 percent of respondents from China have partially or systematically implemented asset management programs, potentially rising to 89 percent by 2020. Comparable numbers for France are 27 percent and 61 percent respectively.
© FIR e. V. an der RWTH Aachen
Early Adopter and Follower analysis by country
Across the five countries surveyed - China, France, Germany, the United Kingdom and the United States – the level of maturity in Industry 4.0 varied significantly.
While no country can claim to be the global early adopter in implementing Industry 4.0 in the context of asset efficiency, the percentage of companies in China that claim to be early adopters is significantly higher than anywhere else
© FIR e. V. an der RWTH Aachen
The necessary architecture is a cross-domain learning platform
Development Cycle Production Cycle User Cycle
Mobile Apps and Application Software Quality
Analytics Research Apps Predictive Maintenance
Raw Data
Machine sensors
Test data
Control data
Simulation data
ERP Data
Work planning
Product Lifecycle Management
CAQ Data Data Envelope
Raw Data
Middleware+
Learning Algorithms
Analytics Algorithms
Smart Data
Scop
e
Scope
Data Provision and Access (Batch and Streaming)
Aggregation and Synchronization
Multi-Modal Information Access
…and many more
Digital Shadowing Data Integration Data Storage and Caching
Model
© FIR e. V. an der RWTH Aachen
A successful implementation of Industrie 4.0 in manufacturing companies requires a holistic transformation approach
18
Resources Information Systems
Organizational Structure Culture
The consideration of resources, information
systems, organizational structure and culture
enables a holistic determination of a
company’s Industrie 4.0 maturity level and
allows the derivation of company-specific
fields of action.
| European Approach on Digitalization | 09th May 2017 | Ijmuiden, Netherlands | Prof. Dr. Volker Stich
© FIR e. V. an der RWTH Aachen
Companies can leverage diverse potentials on the development path to Industrie 4.0 by choosing a stepwise approach (compare ACATECH I4.0 Maturity Model)
19
Industrie 4.0
Indu
strie
4.0
Mat
urity
Inde
x B
usin
ess
Valu
e
Transparency Predictability Adaptability
Industrie 3.0
What does happen? “Seeing”
Visibility
Development Path
Computerization Connectivity
Industrie 4.0
Why does it happen?
What will happen?
How can autonomous reaction take place?
“Understanding”
“Being prepared”
“Self-optimizing”
5
6
3
4
1 2
| European Approach on Digitalization | 09th May 2017 | Ijmuiden, Netherlands | Prof. Dr. Volker Stich
© FIR e. V. an der RWTH Aachen
The five behavior patterns are addressed by the paradigms of an agile company
Development of incremental product innovations.
Paranoia towards completion of tasks.
Specialization and optimization within departments.
Thinking in standards and acting in accustomed patterns.
Decentralized systems are not directed at comprehensive adaptions.
Interdisciplinary Association
“seeing, what will happen”
Learning companies “Being prepared”
… WILL BE ADDRESSED BY THE PARADIGMS OF AN AGILE COMPANY
Definition of user stories/ Cases As fundament for learning
High-frequency change requests
“Self optimization”
New understanding of completeness
“Understanding”
BEHAVIOR PATTERNS OF TODAY’S “WAY OF WORKING”…
© FIR e. V. an der RWTH Aachen
Comparison by industry sector
Currently the automotive, electronics and process industries have the highest maturity levels and the process, machinery and electronics industries have planned the most extensive improvements between now and 2020
© FIR e. V. an der RWTH Aachen
Six leadership characteristics to ensure future success in digital business
1.- Fundamental shortage of skilled talents in a number of key areas,
- especially core engineering and advanced data and automation technologies
- Being nimble and flexible in how these skills are resourced and managed will be critical
2.- Information management needs to be improved for achieving operational efficiency.
- Industry-wide data standards need to be agreed and implemented
- data security must be a constant focus
3.- Implementation needs to be faster than most companies are prepared for.
- Hence a robust ecosystem and open partnering behavior will be necessary
4.- Those with legacy infrastructures can succeed, but they may need to adopt innovation more aggressively.
- This can be achieved not only by the bold use of technology, but also in building new partnerships with companies, large and small, research organizations and academic institutions
5.- Speed - Focusing on quick wins and building on these will bring advantage.
6.- Embracing the inevitable change and building a clear road map that can flex over time are critical.
- to stay a step ahead, companies must constantly look to learn from competitors and other companies outside their traditional sphere.
© FIR e. V. an der RWTH Aachen
But: Take care on the future of your established business model: Disruption never stops on borders!
Companies Value in Bln €
500 employees
Worlds biggest taxi company without …any cab of it`s own 63 187
610.000 employees
Worlds biggest media company does not generate …It`s Own content. 346 191
17.048 Employees 195.000 employees
Worlds biggest retailer without …any stocks 249 256
36.450 employees 2.300.000 employees
Worlds biggest Hotel provider without …any beds 30 29
1.800 employees 130.000 employees
Quellen: medium.com, Wilkat; yahoo finance
© FIR e. V. an der RWTH Aachen
Join us in forming the future of digitalization of our economy at the Cluster Smart Logistik!
24
Campus-Boulevard 55 · 52074 Aachen · Germany www.fir.rwth-aachen.de Prof. Dr. Volker Stich Head of RWTH Aachen Campus Cluster Smart Logisitk Phone: +49 (0)241 477 05-100 Fax: +49 (0)241 477 05-198 E-Mail: [email protected]
© FIR e. V. an der RWTH Aachen
Indu
strie
4.0
Mat
urity
Inde
x B
usin
ess
Valu
e
Transparency Predictability Adaptability
Industrie 3.0
What does happen? “Seeing”
Visibility
Development Path
Computerization Connectivity
Industrie 4.0
Why does it happen?
What will happen?
How can autonomous reaction take place?
“Understanding”
“Being prepared”
“Self-optimizing”
5
6
3
4
1 2
Data standards and interoperability between modern and legacy shop floor systems in a multi-vendor environment as a precursor for seamless interaction, which enables multiple aspects of efficiency up the value chain
Effective root-cause analysis and corrective actions that build a logical approach in solving problems at
their source, rather than just fixing the apparent.
Dynamic asset classification based on asset type, relation to other equipment, hierarchy, complexity and criticality is an important aspect to build the right model that enhances operational and maintenance efficiencies
Real-time production feed back and customers response can optimize all aspects of operations accurately by minimizing resources consumed and maximizing efficiency
Knowledge capture and -management enables improved operations of complex machines, as people and their knowledge are intangible assets in industrial manufacturing.