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Keynote Address: 
Industry 
4.0: 
the Internet of 
Things 
Smart Factories 
From to 
JAYESH C S PAI 
MSME TOOL ROOM, KOLKATA
© DFKI GmbH 
The German Future Project: Industry 4.0 
 Industrial production is the backbone of Germany‘s economic 
performance: 
Exponential growth of data 
Germany is preparing the 4th industrial revolution based on the 
Internet of Things, Cyber-physical Production Systems, and the 
Internet of Services in Real industry.
This is how we see our world
This is how we should see our world
From Industry 1.0 to Industry 4.0: Towards 
the 4th Industrial Revolution 
First 
Mechanical 
Loom 
1784 
mechanical production 
water and steam 
End of 
18th 
Centu 
ry 
t 
Degree of Complexity 
1. Industrial Revolution 
facilities powered by 
Industry 1.0
From Industry 1.0 to Industry 4.0: Towards 
the 4th Industrial Revolution 
First 
Mechanical 
Loom 
1784 
water and steam Industry 1.0 
End of 
18th 
Centu 
ry 
Start of 
20th 
Centu 
ry 
t 
Degree of Complexity 
2. Industrial Revolution 
mass production based on 
the division 
of labour powered by 
electrical 
energy 
Industry 
1. Industrial Revolution 
through introduction of 
mechanical production facilities 
powered by
From Industry 1.0 to Industry 4.0: Towards 
the 4th Industrial Revolution 
of production Industry 3.0 
First 
Mechanical 
Loom 
1784 
water and steam Industry 1.0 
Start of 
70s 
End of 
18th 
Centu 
ry 
Start of 
20th 
Centu 
ry 
t 
Degree of Complexity 
3. Industrial Revolution 
electronics and IT and heavy-duty 
industrial robots for a 
further automization 
2. Industrial Revolution 
through introduction of mass 
production based on the division 
of labour powerde by 
electrical 
energy 
Industry 2.0 
1. Industrial Revolution 
through introduction of 
mechanical production facilities 
powered by
From Industry 1.0 to Industry 4.0: Towards 
the 4th Industrial Revolution 
001010100 
100101010 
of production Industry 3.0 
First 
Mechanical 
Loom 
1784 
water and steam Industry 1.0 
Start of 
70ies 
End of 
18th 
Centu 
ry 
Start of 
20th 
Centu 
ry 
today t 
Degree of Complexity 
010001101 
010010101 
4. Industrial Revolution 
based on Cyber-Physical 
Production Systems 
Industry 
3. Industrial Revolution 4.0 
through Introduction of 
electronics and IT for a further 
automization 
2. Industrial Revolution 
through introduction of mass 
production based on the division 
of labour powerde by 
electrical 
energy 
Industry 2.0 
1. Industrial Revolution 
through introduction of 
mechanical production facilities 
powered by
The Industrial Revolution
Industrial Revolution Hearths 
• The iron industry was first to 
increase production through 
extensive use of (James) 
Watt’s steam engine, plus 
other inventions. 
• The textile industry followed. 
• From these two pioneering 
industries, new industrial 
techniques diffused during the 
nineteenth century. 
Fig. 11-1: The Industrial Revolution originated in areas of northern England. Factories often 
clustered near coalfields.
Towards Intelligent Environments based on 
the Internet of Things and Services 
Smart Factory 
5) Intelligent 
Environments 
4) Embedded Computers 
Smart 
1) Central Computer 3) Smart Phone 90% of all 
computers are 
embedded 
2) PC, Notebook Smart Card 
1) Central Computer 3) Smart 
Phone 
1 Computer 
Many Users 1 User Many Computers, 1 User 
2) PC, Notebook Smart Card 
1941 1960 1980 2000 2020 
1 Computer 
1 User Many
Future Project Industry 4.0 
Internet of Things 
Vision: Internet der Dinge 
Intelligent Intelligente Umgebungen 
Environments/Smart Spaces 
Digital z.B. Smart City 
City 
500 M€ for 3 Years 
National Program: 
250 M€ Funding of 
Ministry for Research and 
Ministry for Economics 
Evolution from 
Embedded Systems 
to Cyber-Physical 
Systems 
Embedded Systems Cyber-Physical Systems 
Cyber- 
Physical 
Systems 
Smart 
Factory, 
Smart Grid 
Networked 
Embedded 
Systems 
Intelligent Street 
Crossing 
Embedded 
Systems 
Airbag
Iron Man Suit
Talos in Greek mythology
Liquid Armor 
It is liquid under low or normal pressure and solid under high pressure. This 
liquid is made with polyethylene glycol and the solid part is made of nano-particles 
of silica. This liquid is soaked into all the layers of a Kevlar vest.
Industry 4.0: Smart, Green, and Urban Production 
Smart Production 
High-precision, superior 
quality production of high-mix, 
low volume smart 
products 
Green Production Urban Production 
clean, resource-efficient, 
and sustainable 
Smart Factories in the city 
close to the employees‘ 
homes
What is Smart Manufacturing?
A future vision 
Smart Manufacturing is: 
…the integration of data… 
…with process expertise… 
…to enable “evidence based” management… 
…of manufacturing.
Smart Connections 
Your Smart Factory 
Business Systems 
Customers 
Real time information 
flows 
Reporting on availability, 
traceability 
& movement of products 
Distribution 
Centres 
Suppliers 
The Smart Grid 
Other Network Partners 
OEM 
Demand 
Mass customisation 
Traceable 
Recyclable / remanufactured 
Optimise resource and energy use vs. production 
Optimise production and minimise cost 
Close links into supply 
chain/networks 
Optimise production 
performance 
Create agile networks able to respond to 
Rapid demand changes 
Higher product availability & lower 
inventories
Internet of Services 
Internet der Dienste 
© DFKI GmbH 
The Internet of Things and Services as a 
Basis for the Smart Factories in the Industry 4.0 
Products 
Plattform 
Internet of Things 
Smart 
App 
Smart 
Material 
App 
Plattform 
Semantic PLM-, SCM-, 
CRM-, QMS- and 
ERP-Services Smart 
Fact 
ory 
App Plattform 
Cyber-Physical 
Production System
Pipelines of Smart Factories for Industry 4.0 
based on Secure Networks of Clouds 
… 
Machine 1 
Secure Cloud 
Networks 
Smart 
Products 
Smart 
Materials 
Smart Factory 2…N 
Smart Factory 1 
M2M-Comunication 
Smart … Smart 
Machine N 
Application Plattform 
for Machines 
Cyber-Physical 
Production Systems 
CPPS
Raising the Level of Abstraction 
If Smart Manufacturing is such a 
smart idea why aren’t companies 
already doing it?
What is 
Smart Manufacturing? 
Business (Collaboration, Broader Metrics 
Real-time Decisions) 
Technology 
(Horizontal & Vertical 
Pervasive) 
Workforce 
(Innovation & 
Broad-Based) 
Organizational 
Mindset
21st Century Smart Manufacturing 
Data 
Analyze 
Model 
• Demand-dynamic economics keyed 
on the intelligence of the ‘customer’ 
• Coordinated enterprise responses 
throughout the entire 
manufacturing supply chain 
• Predictive, preventive 
• Integrated computational materials 
Apply 
engineering 
• Performance-oriented enterprise, 
minimizing energy and material 
usage and maximizing 
environmental sustainability, 
health and safety and economic 
competitiveness 
Dramatically intensified application of 
manufacturing intelligence using advanced 
data analytics, modeling and simulation to 
produce a fundamental transformation to 
transition/new product-based economics, 
flexible factories and demand-driven supply 
chain service enterprises
SMLC Priority: Situational Awareness performance tools across the enterprise to manage dynamic 
production, use, and storage of essential resources (energy, water, air) 
Supply Chain 
Distribution Center 
Customer 
Business 
Systems, ERP 
an interconnected world… 
voice, data, mobile, etc. 
Smart Grid 
Smart Factory 
Modern, smart factories will be interconnected 
with supply chain, distribution and business systems
SMLC Priority: Production and Demand-Dynamic Supply Chain Efficiency - At Scale Virtual Supply Chain Planning, Computational 
Materials Engineering and Product Tracking & Traceability Tools 
Manufacturing Plant 
Supply Chain 
• Customers “pushing” demands 
• Flexible production of smaller 
volumes of custom products 
• Less vertically integrated 
• More information driven 
and automated 
Customer 
Distributor 
Farming 
Mining 
SMLC Priority: 
New Productivity/Efficiency Metrics – Change from output/input 
productivity measures to customization, flexibility, 
responsiveness, energy performance and reuse
Smart Manufacturing is the Application of a Manufacturing Industry Internet 
Supply Chain 
Distribution Center 
Customer 
Business 
Systems, ERP 
Smart Grid 
Smart Factory 
New Degrees of freedom for 
Performance, efficiency and productivity 
Anticipate, plan, 
manage risk 
across 
suppliers 
Merging actionable 
business & 
Operations 
information 
New forms 
equipment 
benchmarking 
Tracking & 
traceability 
New real-time global 
performance 
metrics
Attributes of a Smarter Manufacturing Sector 
Old Traditional Factory 
• More jobs: labor-intensive 
• Lower output and productivity 
• Lower quality products 
• Lower paying unskilled jobs 
• Higher risk working conditions 
• Higher environmental impact 
• Higher production costs 
• Rigid, high-volume production 
• Longer time-to-market 
• Socially optimized (Six Sigma) 
New Smart Manufacturing Plant 
• Less jobs: automation-intensive 
• Higher output and productivity 
• Higher quality products 
• Higher paying skilled jobs 
• Safer working environment 
• Less waste, resource use 
• Lower production costs 
• More flexible customization 
• Faster time-to-market 
• IT-optimized (models, simulation)
As Factories Get Smarter, More Jobs Surround Them 
21st Century Manufacturing Ecosystem 
Much Greater 3x to 15x+ Economic Multiplier - 
Smart Manufacturing: The Essential Nucleus For SME’s & The Service Economy 
Smart Factory 
100% automated 
Intel Chip FAB – 
Some engineers and 
technicians 
Small Businesses 
Innovation and 
specialties 
25% automated 
75% labor 
Medium-size 
Manufacturers 
Components and 
other suppliers 
50% automated, 
50% labor 
Education, Health Care and 
Government 
Services & Support Community colleges and 
Financial, IT Services, 
Consulting, etc. 
100% labor 
Universities, healthy 
knowledge workers, 
public-private 
partnerships
Products with Integrated Dynamic Digital Storage, 
Sensing, and Wireless Communication 
ÞThe product as an information 
container 
Capabilities 
I was 
produced on 
30 April 2010 
and shipped 
– The product carries information on 3 May 2010 
across the complete supply chain 
and its lifecycle. Grasp at 
ÞThe product as an agent the middle 
– The product 
affects ist 
environment 
2 mins open 
ÞThe product as an observer Please close! 
– The product 
monitors itself 
its environment 
and
Service-oriented planning of plant systems 
Hardware-independent planning of plant systems 
ERP Enterprise 
Resource Planning 
MES 
Manufacturing 
Execution System 
Field Layer 
Service Library 
Sensor-Service Valve-Service Pump-Service Control-Service Communication-Service 
Industry 4.0: All-IP Factories, no chaos of field buses, Internet-based 
Factory Networking based on IoS and IoT 
Abstract Service 
hardware-independent 
Device Control 
hardware-dependent
The SmartFactory Shop Floor: Wireless, 
RFID-, Sensor- and Service-based Architecture 
discrete handling proce 
continuous flow proce 
process process 
bottling, handling, labeling, QC, p 
packaging… 
colored soap production 
Live Webcam: http://www.smartfactory.de/webcam.de.html
Data Mining and Knowledge 
Smart Factories 
Manufacturing stores more data than any 
other industrial sector. 
Close to two exabytes of new production 
data were stored in 2010 from multiple 
sources: 
Discovery in 
• 
instrumented production machinery 
• 
supply chain management systems 
• product life-cycle systems 
New ICT Coordination Action of EU: 
BIG: Big Data 
Public Private 
Forum
Human-Centered CPS-based Assistance 
Systems for the Smart Factory 
Physical 
Assistance by 
Exoskeletons 
Industrielle 
Assistenz-systeme 
Mobile, 
Personalized, 
Situation- 
Adaptive, 
Tutoring Systems 
Context-adaptive 
Assistance for 
Fault Diagnosis 
AR/VR/DR-Assistance 
in 
Complex Work 
Processes 
Multimodal 
Human-Machine 
Interaction 
Location-based 
Maintenance and 
Planning 
Assistance
App Stores for the Smart Factory: Downloading 
Tailored User Interfaces for User Groups: 
Elderly, Trainees, Disabled, Supervisors…
Location-based Industrial Assistance Systems in Smart 
Factories for Resource Efficiency Improvements
Advanced Industrial Assistant Systems Based 
on Augmented Reality Technologies 
Industrial Environment 
Industrial Worker 
with Google Glasses 
Mobile, Interactive and 
Situation-Aware 
Tutoring 
Tools
Augmented Reality Systems Supporting Maintenance Staff
Industry 4.0: Robots are no Longer Locked in 
Safety Work Cells but Cooperate with Human Workers 
Today 
Tomorrow 
A new generation of light-weight, flexible robots collaborate with 
humans in the smart factory
DFKI’s Fembot AILA: Using the Semantic Product 
Memory for Adaptive 
Grasping and Smart Product 
Assembly 
Stereo Cameras in the Head and a 3D 
Camera on the Torso for Approaching 
an Object 
Reading 
from the 
Size, Weight and Lifting Points 
Product Memory with an 
antenna in the left hand – the Robot 
gets instructions from the product 
bpreoindguced in the CPPS
W3C Standards as a Basis for the Project of 
the Future Industry 4.0 
Product Memory 
Standardization 
EMMA: 
Multimodal 
Industrial 
Assistance 
Systems 
Industry 4.0 
Smart Factory 
OMM: 
Semantic 
USDL: 
Semantic Services 
in Cyber-Physical 
Production Systems
The Software-defined Car: Customizing 
a Car Environment 
Android Market 
through Apps 
1110100101011011011011000100000100100 
0011110100100110101001001001001010101 
0101011000100010010010100101000100010 
1001110100000000000000000000000000000 
1100100101001010000010011111110101011 
0001001001001001001010100100111011001 
010101101001001001010010010010010010 
001001001011111111101010111011111110011 
0101111111010000000000001001001000010 
1000000000100000000010010101010100100 
App Store 
Intelligent 
User 
Interface 
Apps 
Motor 
Managem 
ent 
Apps 
Driver 
Assistan 
ce 
Apps 
Green 
Driving 
Apps 
10010101101110100010100 
10010010010001000111101 
0010111111110111111111111 
10001011100111111101000 
101001111011110001111111 
10 
1001101111101001001010 
10010010010011101010100 
0010011010010010010001 
1 
0010000000000010001000 
00010010001001001010100 
11010101110100100100100 
101011001101011101001010010010111111001111001 1 0 
11111111101000010101001000000001001001010011111 
10110101010011111011101 
0100100100100100100100 
11111000000000010010110 
1 1 
01010000100101001111010 
1001000110110
© DFKI GmbH 
BMW Apps: Integrating the Most Recent 
Web Services Into the Car Environment 
Source: BMW
Conclusions 
1. High-precision, superior quality production of high-mix, low volume 
smart products are the future of Europe’s successful export-oriented 
economies like Germany. 
2. 80% of the innovations in manufacturing are based on ICT. They will 
lead to Smart Factories, Green and Urban Production. 
3. The fourth Industrial Revolution will be based on cyber-physical systems, 
the Internet of Things and the Internet of Services. It will generate 
enormous BIG data streams that can be harvested and analyzed for 
resource-efficient and ultra-high quality production. 
4. CPS-based industrial assistant systems are needed to support, help 
train the next generation of workers in smart factories. 
and 
5. Augmented and dual reality systems allow individualized workflows and 
fast learning of new production processes.
Tha 
nk 
yo 
u 
ve 
ry 
mu 
ch 
fo 
r 
yo 
ur 
attenti 
on.

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Industry 4.0

  • 1. Keynote Address: Industry 4.0: the Internet of Things Smart Factories From to JAYESH C S PAI MSME TOOL ROOM, KOLKATA
  • 2. © DFKI GmbH The German Future Project: Industry 4.0  Industrial production is the backbone of Germany‘s economic performance: Exponential growth of data Germany is preparing the 4th industrial revolution based on the Internet of Things, Cyber-physical Production Systems, and the Internet of Services in Real industry.
  • 3. This is how we see our world
  • 4. This is how we should see our world
  • 5. From Industry 1.0 to Industry 4.0: Towards the 4th Industrial Revolution First Mechanical Loom 1784 mechanical production water and steam End of 18th Centu ry t Degree of Complexity 1. Industrial Revolution facilities powered by Industry 1.0
  • 6. From Industry 1.0 to Industry 4.0: Towards the 4th Industrial Revolution First Mechanical Loom 1784 water and steam Industry 1.0 End of 18th Centu ry Start of 20th Centu ry t Degree of Complexity 2. Industrial Revolution mass production based on the division of labour powered by electrical energy Industry 1. Industrial Revolution through introduction of mechanical production facilities powered by
  • 7. From Industry 1.0 to Industry 4.0: Towards the 4th Industrial Revolution of production Industry 3.0 First Mechanical Loom 1784 water and steam Industry 1.0 Start of 70s End of 18th Centu ry Start of 20th Centu ry t Degree of Complexity 3. Industrial Revolution electronics and IT and heavy-duty industrial robots for a further automization 2. Industrial Revolution through introduction of mass production based on the division of labour powerde by electrical energy Industry 2.0 1. Industrial Revolution through introduction of mechanical production facilities powered by
  • 8. From Industry 1.0 to Industry 4.0: Towards the 4th Industrial Revolution 001010100 100101010 of production Industry 3.0 First Mechanical Loom 1784 water and steam Industry 1.0 Start of 70ies End of 18th Centu ry Start of 20th Centu ry today t Degree of Complexity 010001101 010010101 4. Industrial Revolution based on Cyber-Physical Production Systems Industry 3. Industrial Revolution 4.0 through Introduction of electronics and IT for a further automization 2. Industrial Revolution through introduction of mass production based on the division of labour powerde by electrical energy Industry 2.0 1. Industrial Revolution through introduction of mechanical production facilities powered by
  • 10. Industrial Revolution Hearths • The iron industry was first to increase production through extensive use of (James) Watt’s steam engine, plus other inventions. • The textile industry followed. • From these two pioneering industries, new industrial techniques diffused during the nineteenth century. Fig. 11-1: The Industrial Revolution originated in areas of northern England. Factories often clustered near coalfields.
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  • 15. Towards Intelligent Environments based on the Internet of Things and Services Smart Factory 5) Intelligent Environments 4) Embedded Computers Smart 1) Central Computer 3) Smart Phone 90% of all computers are embedded 2) PC, Notebook Smart Card 1) Central Computer 3) Smart Phone 1 Computer Many Users 1 User Many Computers, 1 User 2) PC, Notebook Smart Card 1941 1960 1980 2000 2020 1 Computer 1 User Many
  • 16. Future Project Industry 4.0 Internet of Things Vision: Internet der Dinge Intelligent Intelligente Umgebungen Environments/Smart Spaces Digital z.B. Smart City City 500 M€ for 3 Years National Program: 250 M€ Funding of Ministry for Research and Ministry for Economics Evolution from Embedded Systems to Cyber-Physical Systems Embedded Systems Cyber-Physical Systems Cyber- Physical Systems Smart Factory, Smart Grid Networked Embedded Systems Intelligent Street Crossing Embedded Systems Airbag
  • 18. Talos in Greek mythology
  • 19. Liquid Armor It is liquid under low or normal pressure and solid under high pressure. This liquid is made with polyethylene glycol and the solid part is made of nano-particles of silica. This liquid is soaked into all the layers of a Kevlar vest.
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  • 24. Industry 4.0: Smart, Green, and Urban Production Smart Production High-precision, superior quality production of high-mix, low volume smart products Green Production Urban Production clean, resource-efficient, and sustainable Smart Factories in the city close to the employees‘ homes
  • 25. What is Smart Manufacturing?
  • 26. A future vision Smart Manufacturing is: …the integration of data… …with process expertise… …to enable “evidence based” management… …of manufacturing.
  • 27. Smart Connections Your Smart Factory Business Systems Customers Real time information flows Reporting on availability, traceability & movement of products Distribution Centres Suppliers The Smart Grid Other Network Partners OEM Demand Mass customisation Traceable Recyclable / remanufactured Optimise resource and energy use vs. production Optimise production and minimise cost Close links into supply chain/networks Optimise production performance Create agile networks able to respond to Rapid demand changes Higher product availability & lower inventories
  • 28. Internet of Services Internet der Dienste © DFKI GmbH The Internet of Things and Services as a Basis for the Smart Factories in the Industry 4.0 Products Plattform Internet of Things Smart App Smart Material App Plattform Semantic PLM-, SCM-, CRM-, QMS- and ERP-Services Smart Fact ory App Plattform Cyber-Physical Production System
  • 29. Pipelines of Smart Factories for Industry 4.0 based on Secure Networks of Clouds … Machine 1 Secure Cloud Networks Smart Products Smart Materials Smart Factory 2…N Smart Factory 1 M2M-Comunication Smart … Smart Machine N Application Plattform for Machines Cyber-Physical Production Systems CPPS
  • 30. Raising the Level of Abstraction If Smart Manufacturing is such a smart idea why aren’t companies already doing it?
  • 31. What is Smart Manufacturing? Business (Collaboration, Broader Metrics Real-time Decisions) Technology (Horizontal & Vertical Pervasive) Workforce (Innovation & Broad-Based) Organizational Mindset
  • 32. 21st Century Smart Manufacturing Data Analyze Model • Demand-dynamic economics keyed on the intelligence of the ‘customer’ • Coordinated enterprise responses throughout the entire manufacturing supply chain • Predictive, preventive • Integrated computational materials Apply engineering • Performance-oriented enterprise, minimizing energy and material usage and maximizing environmental sustainability, health and safety and economic competitiveness Dramatically intensified application of manufacturing intelligence using advanced data analytics, modeling and simulation to produce a fundamental transformation to transition/new product-based economics, flexible factories and demand-driven supply chain service enterprises
  • 33. SMLC Priority: Situational Awareness performance tools across the enterprise to manage dynamic production, use, and storage of essential resources (energy, water, air) Supply Chain Distribution Center Customer Business Systems, ERP an interconnected world… voice, data, mobile, etc. Smart Grid Smart Factory Modern, smart factories will be interconnected with supply chain, distribution and business systems
  • 34. SMLC Priority: Production and Demand-Dynamic Supply Chain Efficiency - At Scale Virtual Supply Chain Planning, Computational Materials Engineering and Product Tracking & Traceability Tools Manufacturing Plant Supply Chain • Customers “pushing” demands • Flexible production of smaller volumes of custom products • Less vertically integrated • More information driven and automated Customer Distributor Farming Mining SMLC Priority: New Productivity/Efficiency Metrics – Change from output/input productivity measures to customization, flexibility, responsiveness, energy performance and reuse
  • 35. Smart Manufacturing is the Application of a Manufacturing Industry Internet Supply Chain Distribution Center Customer Business Systems, ERP Smart Grid Smart Factory New Degrees of freedom for Performance, efficiency and productivity Anticipate, plan, manage risk across suppliers Merging actionable business & Operations information New forms equipment benchmarking Tracking & traceability New real-time global performance metrics
  • 36. Attributes of a Smarter Manufacturing Sector Old Traditional Factory • More jobs: labor-intensive • Lower output and productivity • Lower quality products • Lower paying unskilled jobs • Higher risk working conditions • Higher environmental impact • Higher production costs • Rigid, high-volume production • Longer time-to-market • Socially optimized (Six Sigma) New Smart Manufacturing Plant • Less jobs: automation-intensive • Higher output and productivity • Higher quality products • Higher paying skilled jobs • Safer working environment • Less waste, resource use • Lower production costs • More flexible customization • Faster time-to-market • IT-optimized (models, simulation)
  • 37. As Factories Get Smarter, More Jobs Surround Them 21st Century Manufacturing Ecosystem Much Greater 3x to 15x+ Economic Multiplier - Smart Manufacturing: The Essential Nucleus For SME’s & The Service Economy Smart Factory 100% automated Intel Chip FAB – Some engineers and technicians Small Businesses Innovation and specialties 25% automated 75% labor Medium-size Manufacturers Components and other suppliers 50% automated, 50% labor Education, Health Care and Government Services & Support Community colleges and Financial, IT Services, Consulting, etc. 100% labor Universities, healthy knowledge workers, public-private partnerships
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  • 72. Products with Integrated Dynamic Digital Storage, Sensing, and Wireless Communication ÞThe product as an information container Capabilities I was produced on 30 April 2010 and shipped – The product carries information on 3 May 2010 across the complete supply chain and its lifecycle. Grasp at ÞThe product as an agent the middle – The product affects ist environment 2 mins open ÞThe product as an observer Please close! – The product monitors itself its environment and
  • 73. Service-oriented planning of plant systems Hardware-independent planning of plant systems ERP Enterprise Resource Planning MES Manufacturing Execution System Field Layer Service Library Sensor-Service Valve-Service Pump-Service Control-Service Communication-Service Industry 4.0: All-IP Factories, no chaos of field buses, Internet-based Factory Networking based on IoS and IoT Abstract Service hardware-independent Device Control hardware-dependent
  • 74. The SmartFactory Shop Floor: Wireless, RFID-, Sensor- and Service-based Architecture discrete handling proce continuous flow proce process process bottling, handling, labeling, QC, p packaging… colored soap production Live Webcam: http://www.smartfactory.de/webcam.de.html
  • 75. Data Mining and Knowledge Smart Factories Manufacturing stores more data than any other industrial sector. Close to two exabytes of new production data were stored in 2010 from multiple sources: Discovery in • instrumented production machinery • supply chain management systems • product life-cycle systems New ICT Coordination Action of EU: BIG: Big Data Public Private Forum
  • 76. Human-Centered CPS-based Assistance Systems for the Smart Factory Physical Assistance by Exoskeletons Industrielle Assistenz-systeme Mobile, Personalized, Situation- Adaptive, Tutoring Systems Context-adaptive Assistance for Fault Diagnosis AR/VR/DR-Assistance in Complex Work Processes Multimodal Human-Machine Interaction Location-based Maintenance and Planning Assistance
  • 77. App Stores for the Smart Factory: Downloading Tailored User Interfaces for User Groups: Elderly, Trainees, Disabled, Supervisors…
  • 78. Location-based Industrial Assistance Systems in Smart Factories for Resource Efficiency Improvements
  • 79. Advanced Industrial Assistant Systems Based on Augmented Reality Technologies Industrial Environment Industrial Worker with Google Glasses Mobile, Interactive and Situation-Aware Tutoring Tools
  • 80. Augmented Reality Systems Supporting Maintenance Staff
  • 81. Industry 4.0: Robots are no Longer Locked in Safety Work Cells but Cooperate with Human Workers Today Tomorrow A new generation of light-weight, flexible robots collaborate with humans in the smart factory
  • 82. DFKI’s Fembot AILA: Using the Semantic Product Memory for Adaptive Grasping and Smart Product Assembly Stereo Cameras in the Head and a 3D Camera on the Torso for Approaching an Object Reading from the Size, Weight and Lifting Points Product Memory with an antenna in the left hand – the Robot gets instructions from the product bpreoindguced in the CPPS
  • 83. W3C Standards as a Basis for the Project of the Future Industry 4.0 Product Memory Standardization EMMA: Multimodal Industrial Assistance Systems Industry 4.0 Smart Factory OMM: Semantic USDL: Semantic Services in Cyber-Physical Production Systems
  • 84. The Software-defined Car: Customizing a Car Environment Android Market through Apps 1110100101011011011011000100000100100 0011110100100110101001001001001010101 0101011000100010010010100101000100010 1001110100000000000000000000000000000 1100100101001010000010011111110101011 0001001001001001001010100100111011001 010101101001001001010010010010010010 001001001011111111101010111011111110011 0101111111010000000000001001001000010 1000000000100000000010010101010100100 App Store Intelligent User Interface Apps Motor Managem ent Apps Driver Assistan ce Apps Green Driving Apps 10010101101110100010100 10010010010001000111101 0010111111110111111111111 10001011100111111101000 101001111011110001111111 10 1001101111101001001010 10010010010011101010100 0010011010010010010001 1 0010000000000010001000 00010010001001001010100 11010101110100100100100 101011001101011101001010010010111111001111001 1 0 11111111101000010101001000000001001001010011111 10110101010011111011101 0100100100100100100100 11111000000000010010110 1 1 01010000100101001111010 1001000110110
  • 85. © DFKI GmbH BMW Apps: Integrating the Most Recent Web Services Into the Car Environment Source: BMW
  • 86. Conclusions 1. High-precision, superior quality production of high-mix, low volume smart products are the future of Europe’s successful export-oriented economies like Germany. 2. 80% of the innovations in manufacturing are based on ICT. They will lead to Smart Factories, Green and Urban Production. 3. The fourth Industrial Revolution will be based on cyber-physical systems, the Internet of Things and the Internet of Services. It will generate enormous BIG data streams that can be harvested and analyzed for resource-efficient and ultra-high quality production. 4. CPS-based industrial assistant systems are needed to support, help train the next generation of workers in smart factories. and 5. Augmented and dual reality systems allow individualized workflows and fast learning of new production processes.
  • 87. Tha nk yo u ve ry mu ch fo r yo ur attenti on.

Editor's Notes

  1. <number>
  2. <number>
  3. <number>
  4. Business – uncertainty in markets policy ROI retrofit, installed base, slow return when not integrated 40 – 60 billion 300,000 SME companies that don’t have access to technology Raising the Level of Abstraction Work Smarter instead of Work Harder – break out of some Killer Loops – the beer game is strongly at play Where are the untapped degrees of freedom How we engage the workforce differently and more productively What if models could be deployed pervasively including SME <number>
  5. Minimalist approach – establish an alternative approach – process to build sophistication What is new performance objective, what is doable and good first step, what is the right model and the right data – generally not highly complex How do we engage the workforce Where do we think about the control system layer Complexity derives not from sophisticated modeling but from interconnectedness of many small information sources that are integrated into broader consideration <number>