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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:
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.
Exponential growth of data
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
t
DegreeofComplexity
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
Industry 1.0water and steam
End of
18th
Centu
Start of
20th
Centu
t
DegreeofComplexity
2. Industrial Revolution
mass production based on
the division
of labour powered by
electrical
energy1. Industrial Revolution
through introduction of
mechanical production facilities
powered by
From Industry 1.0 to Industry 4.0: Towards
the 4th Industrial Revolution
Industry 3.0of production
First
Mechanical
Loom
1784
Industry 1.0water and steam
Start of
70s
End of
18th
Centu
Start of
20th
Centu
t
DegreeofComplexity
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
Industry 3.0of production
First
Mechanical
Loom
1784
Industry 1.0water and steam
Start of
70ies
End of
18th
Centu
Start of
20th
Centu
today t
DegreeofComplexity
010001101
010010101
4. Industrial Revolution
based on Cyber-Physical
Production Systems
Industry
4.03. Industrial Revolution
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
4) Embedded Computers Smart Factory
1) Central Computer 90% of all3) Smart Phone
computers are
embedded
2) PC, Notebook Smart Card
1 Computer
1 User
Many Users
Many Computers, 1 User
20201960 20001941 1980
5) Intelligent
Environments
4) Embedded Computers
Smart
1) Central Computer 3) Smart
Phone
2) PC, Notebook Smart Card
1 Computer
Vision: Internet der Dinge
Intelligente Umgebungen
z.B. Smart City
Future Project Industry 4.0
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
Cyber-Physical SystemsEmbedded Systems
Intelligent Environments/Smart Spaces
Digital City
Cyber-
Physical
Systems
Smart
Factory,
Smart Grid
Networked
Embedded
Systems
Intelligent Street
Crossing
Embedded
Systems
Internet of Things
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
Urban Production
Green Production
clean, resource-efficient,
and sustainable
Smart Factories in the city
close to the employees‘
homes
What is Smart Manufacturing?
A future vision
…the integration of data…
Smart Manufacturing is:
…with process expertise…
…to enable “evidence based” management…
…of manufacturing.
Smart Connections
Your Smart Factory
Business Systems
Customers
Distribution
Centres
Suppliers
The Smart Grid
Other Network Partners
OEM
Demand
Mass customisation
Traceable
Recyclable / remanufactured
Real time information
flows
Reporting on availability,
traceability
& movement of products
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 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
Internet of Services
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
Apply
• Demand-dynamic economics keyed
on the intelligence of the ‘customer’
• Coordinated enterprise responses
throughout the entire
manufacturing supply chain
• Predictive, preventive
• Integrated computational materials
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
Customer
Distributor
Farming
Mining
SMLC Priority:
New Productivity/Efficiency Metrics – Change from output/input
productivity measures to customization, flexibility,
responsiveness, energy performance and reuse
• Customers “pushing” demands
• Flexible production of smaller
volumes of custom products
• Less vertically integrated
• More information driven
and automated
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
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)
Attributes of a Smarter Manufacturing Sector
21st Century Manufacturing Ecosystem
Much Greater 3x to 15x+ Economic Multiplier -
Smart Manufacturing: The Essential Nucleus For SME’s & The Service Economy
100% automated
Intel Chip FAB –
Some engineers and
technicians
Smart Factory
Innovation and
specialties
25% automated
75% labor
Small Businesses
Components and
other suppliers
50% automated,
50% labor
Medium-size
Manufacturers
Financial, IT Services,
Consulting, etc.
100% labor
Services & Support
Community colleges and
Universities, healthy
knowledge workers,
public-private
partnerships
Education, Health Care and
Government
As Factories Get Smarter, More Jobs Surround Them
Products with Integrated Dynamic Digital Storage,
Sensing, and Wireless Communication
⇒The product as an information
container
Capabilities
I was
produced on
30 April 2010
and shipped
on 3 May 2010
– The product carries information
across the complete supply chain
and its lifecycle. Grasp at
the middle
⇒The product as an agent
–
The product
affects ist
environment
2 mins open
Please close!
⇒The product as an observer
–
The product
monitors itself
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
continuous flow process discrete handling process
bottling, handling, labeling, QC, packaging…
Live Webcam: http://www.smartfactory.de/webcam.de.html
discrete handling proce
bottling, handling, labeling, QC, p
continuous flow proce
colored soap production
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
Industrielle
Assistenz-
systeme
Human-Centered CPS-based Assistance
Systems for the Smart Factory
Physical
Assistance by
Exoskeletons
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:
Supervisors…Elderly, Trainees, Disabled,
Location-based Industrial Assistance Systems in Smart
Factories for Resource Efficiency Improvements
Industrial Environment
Advanced Industrial Assistant Systems Based
on Augmented Reality Technologies
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
Grasping and Smart ProductMemory for
Assembly
Adaptive
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
beingproduced 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
1110100101011011011011000100000100100
0011110100100110101001001001001010101
0101011000100010010010100101000100010
1001110100000000000000000000000000000
1100100101001010000010011111110101011
0001001001001001001010100100111011001
010101101001001001010010010010010010
001001001011111111101010111011111110011
0101111111010000000000001001001000010
1000000000100000000010010101010100100
The Software-defined Car: Customizing
a Car Environment
Android Market
through Apps
App Store
Intelligent
User
Interface
Apps
Motor
Managem
ent
Apps
Driver
Assistan
ce
Apps
Green
Driving
Apps
10010101101110100010100
10010010010001000111101
0010111111110111111111111
10001011100111111101000
101001111011110001111111
1
01001101111101001001010
10010010010011101010100
0010011010010010010001
1
0010000000000010001000
00010010001001001010100
11010101110100100100100
1010110011010111010010010010010111111001111001 1
00000000100100101001111111111111101000010101001
10110101010011111011101
0100100100100100100100
11111000000000010010110
11
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 pai

  • 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: 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. Exponential growth of data
  • 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 t DegreeofComplexity 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 Industry 1.0water and steam End of 18th Centu Start of 20th Centu t DegreeofComplexity 2. Industrial Revolution mass production based on the division of labour powered by electrical energy1. Industrial Revolution through introduction of mechanical production facilities powered by
  • 7. From Industry 1.0 to Industry 4.0: Towards the 4th Industrial Revolution Industry 3.0of production First Mechanical Loom 1784 Industry 1.0water and steam Start of 70s End of 18th Centu Start of 20th Centu t DegreeofComplexity 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 Industry 3.0of production First Mechanical Loom 1784 Industry 1.0water and steam Start of 70ies End of 18th Centu Start of 20th Centu today t DegreeofComplexity 010001101 010010101 4. Industrial Revolution based on Cyber-Physical Production Systems Industry 4.03. Industrial Revolution 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.
  • 11.
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  • 15. Towards Intelligent Environments based on the Internet of Things and Services 4) Embedded Computers Smart Factory 1) Central Computer 90% of all3) Smart Phone computers are embedded 2) PC, Notebook Smart Card 1 Computer 1 User Many Users Many Computers, 1 User 20201960 20001941 1980 5) Intelligent Environments 4) Embedded Computers Smart 1) Central Computer 3) Smart Phone 2) PC, Notebook Smart Card 1 Computer
  • 16. Vision: Internet der Dinge Intelligente Umgebungen z.B. Smart City Future Project Industry 4.0 500 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 Cyber-Physical SystemsEmbedded Systems Intelligent Environments/Smart Spaces Digital City Cyber- Physical Systems Smart Factory, Smart Grid Networked Embedded Systems Intelligent Street Crossing Embedded Systems Internet of Things
  • 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 Urban Production Green 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 …the integration of data… Smart Manufacturing is: …with process expertise… …to enable “evidence based” management… …of manufacturing.
  • 27. Smart Connections Your Smart Factory Business Systems Customers Distribution Centres Suppliers The Smart Grid Other Network Partners OEM Demand Mass customisation Traceable Recyclable / remanufactured Real time information flows Reporting on availability, traceability & movement of products 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 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 Internet of Services
  • 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 Apply • Demand-dynamic economics keyed on the intelligence of the ‘customer’ • Coordinated enterprise responses throughout the entire manufacturing supply chain • Predictive, preventive • Integrated computational materials 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 Customer Distributor Farming Mining SMLC Priority: New Productivity/Efficiency Metrics – Change from output/input productivity measures to customization, flexibility, responsiveness, energy performance and reuse • Customers “pushing” demands • Flexible production of smaller volumes of custom products • Less vertically integrated • More information driven and automated
  • 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. 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) Attributes of a Smarter Manufacturing Sector
  • 37. 21st Century Manufacturing Ecosystem Much Greater 3x to 15x+ Economic Multiplier - Smart Manufacturing: The Essential Nucleus For SME’s & The Service Economy 100% automated Intel Chip FAB – Some engineers and technicians Smart Factory Innovation and specialties 25% automated 75% labor Small Businesses Components and other suppliers 50% automated, 50% labor Medium-size Manufacturers Financial, IT Services, Consulting, etc. 100% labor Services & Support Community colleges and Universities, healthy knowledge workers, public-private partnerships Education, Health Care and Government As Factories Get Smarter, More Jobs Surround Them
  • 38.
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  • 72. Products with Integrated Dynamic Digital Storage, Sensing, and Wireless Communication ⇒The product as an information container Capabilities I was produced on 30 April 2010 and shipped on 3 May 2010 – The product carries information across the complete supply chain and its lifecycle. Grasp at the middle ⇒The product as an agent – The product affects ist environment 2 mins open Please close! ⇒The product as an observer – The product monitors itself 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 continuous flow process discrete handling process bottling, handling, labeling, QC, packaging… Live Webcam: http://www.smartfactory.de/webcam.de.html discrete handling proce bottling, handling, labeling, QC, p continuous flow proce colored soap production
  • 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. Industrielle Assistenz- systeme Human-Centered CPS-based Assistance Systems for the Smart Factory Physical Assistance by Exoskeletons 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: Supervisors…Elderly, Trainees, Disabled,
  • 78. Location-based Industrial Assistance Systems in Smart Factories for Resource Efficiency Improvements
  • 79. Industrial Environment Advanced Industrial Assistant Systems Based on Augmented Reality Technologies 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 Grasping and Smart ProductMemory for Assembly Adaptive 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 beingproduced 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. 1110100101011011011011000100000100100 0011110100100110101001001001001010101 0101011000100010010010100101000100010 1001110100000000000000000000000000000 1100100101001010000010011111110101011 0001001001001001001010100100111011001 010101101001001001010010010010010010 001001001011111111101010111011111110011 0101111111010000000000001001001000010 1000000000100000000010010101010100100 The Software-defined Car: Customizing a Car Environment Android Market through Apps App Store Intelligent User Interface Apps Motor Managem ent Apps Driver Assistan ce Apps Green Driving Apps 10010101101110100010100 10010010010001000111101 0010111111110111111111111 10001011100111111101000 101001111011110001111111 1 01001101111101001001010 10010010010011101010100 0010011010010010010001 1 0010000000000010001000 00010010001001001010100 11010101110100100100100 1010110011010111010010010010010111111001111001 1 00000000100100101001111111111111101000010101001 10110101010011111011101 0100100100100100100100 11111000000000010010110 11 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.

Notas do Editor

  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>