smart ecosystems - ipa...© fraunhofer iese sec special seminar: software engineering and business...
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© Fraunhofer IESE
SEC Special Seminar:Software Engineering and Business
Innovation at the Era of IoTTokyo, February 20, 2015
Prof. Dr. Dieter [email protected]
Fraunhofer IESEKaiserslautern, Germany
Smart Ecosystems: An Enabler for Future Innovations
© Fraunhofer IESE
Applied Research: The Fraunhofer-Gesellschaft
On the way to the Digital Society 2.0
Challenges for Software and Systems Engineering
AGENDA
© Fraunhofer IESE
Researcher
Discovery of the “Fraunhofer lines” in the solar spectrum
Inventor
Development of new methods for lens processing
Entrepreneur
Director and partner in a glass manufactory
Joseph von Fraunhofer (1787 – 1826)
© Fraunhofer-Gesellschaft
“Fraunhofer Lines”
© Deutsches Museum
3February 20, 2015
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Fraunhofer-Gesellschaft, the largest organization for applied research in Europe
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Applied Research for Economy and Society
About 23,000employees
Above 70% of industry contracts and publicly funded research projects
About 30% of base funding fromfederal and state government
66 institutes andresearch institutions
Res
earc
h V
olu
me
2 billion €
2013C
on
trac
ted
Res
earc
h
1.7 billion €
February 20, 2015
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Fraunhofer Worldwide
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Dubai
Bangalore
Jakarta
Beijing Seoul
Tokyo
Cairo
Ampang
Santiago de Chile
Singapore
Brussels
Porto
Vienna
Bolzano GrazBudapest
Wrocław
Gothenburg
Thessaloniki
Sydney
Salvador
Sendai
Paris
São PauloCampinas
Jerusalem
Stellenbosch
Boston
Plymouth
East LansingSan José
NewarkMaryland
Cambridge
LondonVancouver
Storrs
Glasgow
SouthamptonDublin
Subsidiary Center Project Center ICON / Strategic Cooperation Representative / Marketing Office Senior Advisor
February 20, 2015
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Fraunhofer Fields of Research
Health and Environment
Communication and Information
Production and Services
Mobility and Transportation
Energy and Resources
Safety and Security
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Fraunhofer Institute for Experimental Software Engineering
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Founded in 1996
One of the leading software engineering institutes in Europe and worldwide
Over 200 employees
Schkopau
Teltow
Oberhausen
Duisburg
EuskirchenAachen
Schmallenberg
Dortmund
PotsdamBerlin
RostockLübeck
Itzehoe
Braunschweig
Hannover
Bremen
Bremerhaven
LeipzigDresden
CottbusMagdeburg
Halle
Wachtberg
München
Holzkirchen
Freiburg
Efringen-Kirchen
FreisingStuttgart
PfinztalKarlsruheSaarbrücken
St. Ingbert
DarmstadtWürzburg
Erlangen
Nürnberg
Ilmenau
St. Augustin JenaChemnitz
Fürth
Ettlingen
Kandern
Kaiserslautern
February 20, 2015
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Our Formula for Your Success
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The Basis of Our Success…
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Core Competencies of Fraunhofer IESE
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SOFTWARE-ENABLED INNOVATIONS
forinnovative
Systems
February 20, 2015
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Core Competencies of Fraunhofer IESE
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SOFTWARE-ENABLED INNOVATIONS
IS/MobileES/CPS Smart Ecosystems
February 20, 2015
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How do we help?We create evidence!
We analyze software and systems to create evidencesthat enable us to provide sound evaluation results
and decision support
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Applied Research: The Fraunhofer-Gesellschaft
On the way to the Digital Society 2.0
Challenges for Software and Systems Engineering
AGENDA
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Integration: A Driver in Private Life
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Integration as Driver for Business Life: Integration Enables Innovation!
… in Information Systems as well as in Embedded Systems
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Physical Objects Get a Digital Life
Physical objects (things, living objects, people)
produce data (through observation using sensors)
have a history (enabling prediction)
are influenced by data (using actuators)
context-dependent
Location-aware
in real time
across software system boundaries
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[Picture from http://b-metro.com, Cheri Ellis]
February 20, 2015
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17[Bosch Software Innovations 2012]
February 20, 2015
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IT Mega-Trend: Integration
Big Data / Data Analytics18February 20, 2015
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Societal Changes through Smart Ecosystems
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Closed Systems(IS, ES)
Open Systems(IS, ES)
Integrated Systems •Systems of
Systems•Emergent
Systems•Cyber-
Physical Systems
Smart Ecosystems
Digital Society 1.0
Digital Society 2.0
February 20, 2015
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Smart EcosystemsA Trend across Domains
Smart Ecosystems
Industry 4.0
Smart Mobility
Smart Energy
…
Smart X
Smart Health
Smart Farming
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Example: Smart Cars
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[Roland Berger]
In open ecosystems, the question is no longer “What is the customer going to pay for?” but “Who might be willing to pay?”
February 20, 2015
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Example: Smart Farming
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Preventive error avoidanceNo standstill during harvesting period
Protection of field soilCoordination of agriculture machines
Minimizing fuel consumptionPrediction and control of machine routes
Foresighted planningUse of real-time data streams
Automated control of harvesting speed
Coordination of agriculture machines and their routes
Optimized harvest logisticsExplicit consideration of various
influencing factors
[CLAAS]
Innovation through connected & integrated software systems and context-dependent & location-based services
February 20, 2015
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The Fourth Industrial Revolution
Research initiative to answer four major challenges of the modern world
Global competition
Resources shortages
Demographic changes
Urbanization
Role of software and IT in connected production facilities
Presentation of the final reportIndustry 4.0
at Hanover Fair 2013http://www.plattform-i40.de/
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Example: Smart Production in Industry 4.0
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[agendaCPS]
FUTURE
Machine-to-machine communication
Analysis of machine and surrounding data
Estimation of machine‘s condition
Predict errors & maintain machine
Avoid downtime
Avoid unnecessary maintenance
REACTIVE
80%FALSE ALARMS
TODAY
Which events can be isolated and handled by a service employee?
Which errors influence the operation of a complete industry plant?
Is there a correlation between the errors?
PROACTIVE
20%QUALIFIED SIGNALS
Compare to history, identify trends, and
predict errors
February 20, 2015
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Industry 4.0History
Software is the key to innovation and productivity boost
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Mechanical production facilities, hydropower, steam engines
Assembly-line organization, electrical drives
SPS-based automation technology
Smart ecosystems and integrated cyber-physical systems
1.02.03.04.0
February 20, 2015
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The focus of Industry 4.0 is on
real-time capable,
comprehensive,
intelligent,
horizontal and vertical
networking of
people,
machines,
objects and
IT systems
for dynamic management of complex systems
Industry 4.0Characteristics
[Plattform Industrie 4.0; www.plattform-i40.de]
[Siemens]
We must be able to control a network of plants distributed all
over the world as one global factory
Vertical Integration throughout control levels
Horizontal Integration across enterprises
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Industry 4.0Vertical Integration
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Distribution
Product Development /R&D)
Planning
Service
IT, Shared Services
Acquisition Production Logistics
Finance, Tax, Legal
Enterprise
Vertica
l Valu
e C
reatio
n
[PwC 2014]
20%
2014 2019
80%
Digitalization of value chain
February 20, 2015
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Industry 4.0Horizontal Integration
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Supplier Chain
CooperationPartners
Planning
Acq
uis
itio
n
Pro
du
ctio
n
Log
isti
cs CustomersNetwork
Horizontal Value Creation Chain/Network
Supplier Enterprise Customer
[PwC 2014]
24%
2014 2019
86%
Digitalization of value chain
February 20, 2015
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Industry 4.0Vision: Industry 2025
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[BMBF: Zukunftsbild Industrie 4.0]
Flexible and individualized manufacturing
Connected enterprises
Competitive advantages of flexible value-creation networks
Coexistence of open and closed production networks
Work comfort through intelligent assistance systems
New business opportunities in connected industry
February 20, 2015
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The first challenge is to pull together the perspectives represented by different industries and to establish a common approach
Industry 4.0Example Perspectives
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Manufacturing ProcessProcessing and transport functions
Software ApplicationsBusiness management, production management, control and regulation software
Networked DevicesProgrammablelogic controllers, mobile devices, servers, workstations, etc.
Product EngineeringProduction design & dev., planning, engineering, and services
Reference ArchitectureIndustry 4.0
[Plattform Industrie 4.0; www.plattform-i40.de]February 20, 2015
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Industry 4.0Expected Benefits
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[PwC 2014]
46%
49%
54%
62%
67%
80%
34%
35%
32%
27%
27%
15%
20%
16%
14%
11%
6%
5%
0% 20% 40% 60% 80% 100%
Individualization of products
Improvement of quality
Short Time-to-Market(in the product development)
Large flexibility in the products
High customer satisfaction
Better planning and control(in the production resp. logistics)
High Medium Low
February 20, 2015
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Industry 4.0Potential Growth (Germany)
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Industry Sector
Gross Added Value[Bn. €]
Potential through Industry 4.0
Yearly Increase
2013 2025* 2013-25 2013-25
Chemical Industry 40.08 52.10 +30% 2.12%
Automotive andCar Parts
74.00 88.80 +20% 1.53%
Machine and Plant Construction
76.79 99.83 +30% 2.21%
Electrical Equipment 40.27 52.35 +30% 2.21%
Agriculture and Forestry 18.55 21.33 +15% 1.17%
Inform. and Comm. Tech. 93.65 107.70 +15% 1.17%
Total Potential 343.34 422.11 +23% 1.74%
[BITKOM 2014]* Growth due to Industry 4.0 only (economic growth excluded)
February 20, 2015
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Industry 4.0Key Challenges of Implementing Industry 4.0
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42
64
70
78
85
98
129
147
0 20 40 60 80 100 120 140 160
Regulatory framework
Training and CPD
Research
Lack of specialist staff
Security know-how protection
New business models
Product availability
Process/work organisation
Standardisation
33Survey (BITKOM, VDMA, ZVEI 2013): 278 companies mainly from the machinery and plant manufacturing industry. 205 companies < 500 employees.
February 20, 2015
© Fraunhofer IESE
Applied Research: The Fraunhofer-Gesellschaft
On the way to the Digital Society 2.0
Challenges for Software and Systems Engineering
AGENDA
© Fraunhofer IESE
Trend in Digitalization of Product- and Service PortfoliosThe Key to Sustainable Success
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[PwC 2014]
29%
34%
37%
2014
high
medium
low
79%
14%7%
2019
+ 50%
Digitalization Level
February 20, 2015
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Smart EcosystemsKey Challenges for Software and Systems Engineering
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Smart Data Usage
Complexity Uncertainty
DiversitySafety & Security
February 20, 2015
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Key Challenges of Smart EcosystemsComplexity
Smart Ecosystems are the most complex artifacts created by a human being: dynamics and long lifetime require a high degree of complexity reduction
This requires:
Model-based engineering approaches
Scalable architectures
Mature development processes
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Key Challenges of Smart EcosystemsDiversity
Smart Ecosystems comprise and integrate diverse systems and stakeholders across companies and domains
This requires:
Interoperable architectures
Standardization
Quality of Service (QoS) guarantees
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Key Challenges of Smart EcosystemsUncertainty
A system within a Smart Ecosystem must be able to deal with an uncertain environment: players and how to interact with them may change
This requires:
Flexible architectures
Adaptable systems
Certifiable runtime qualities
Simulation approaches for connecting development and runtime
39February 20, 2015
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Key Challenges of Smart EcosystemsSafety & Security
In Smart Ecosystems, highly critical embedded systems are integrated with sensible information systems: the resulting ecosystem needs to address safety and security issues
This requires:
Integrated security/safety models
Context-dependent, integrated data usage control (trust and acceptance)
Isolation of critical system parts (e.g., “software cages”)
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Key Challenges of Smart EcosystemsSmart Usage of Big Data
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Opportunities are huge!
How are your capabilities?
February 20, 2015
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Key Challenges of Smart EcosystemsSmart Usage of Big Data
In Smart Ecosystems, big data needs to be processed across companies to enable joint value chains and business models
This requires:
Innovative business models
Big data strategies (goals, competencies, and technologies)
Approaches for managing data quality (“garbage in, garbage out”)
Integrated data usage control
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DataVolume
DataVariety
DataVelocity
MB GB TB PB
[from http://www.gi.de/service/informatiklexikon/detailansicht/article/big-data.html]
February 20, 2015
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Companies and society can strongly benefit from Smart Ecosystems
Opportunity and threat at the same time for companies
Software is the USP
Context sensitivity, intelligence, and added value are delivered by software
Processing power and communication bandwidth are mandatory prerequisites
Software Engineering is the key to success
Achieve the right goals at the right time with the right level of quality
At development time and at runtime
Challenges in Smart Ecosystems require guaranteed qualities
Fraunhofer IESE provides strong competencies for these challenges
TAKEAWAYS
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THANK YOU!