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Keynote Address: Industry 4.0: the Internet of Things Smart Factories From t o JAYESH C S PAI MSME TOOL ROOM, KOLKATA

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Fourth Industrial revolution - Cyber Physical Production Systems - Internet of Things and Factory of the Future

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Page 1: Industry 4.0 pai

Keynote Address:

Industry 4.0:the Internet of Things

Smart Factories

From to

JAYESH C S PAIMSME TOOL ROOM, KOLKATA

Page 2: Industry 4.0 pai

© 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 theInternet of Things, Cyber-physical Production Systems, and theInternet of Services in Real industry.

Exponential growth of data

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This is how we see our world

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This is how we should see our world

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From Industry 1.0 to Industry 4.0: Towardsthe 4th Industrial Revolution

FirstMechanicalLoom1784

mechanical production

water and steam

End of18th

Century

t

Deg

ree

of

Co

mp

lexi

ty

1. Industrial Revolution

facilities powered by

Industry 1.0

Page 6: Industry 4.0 pai

From Industry 1.0 to Industry 4.0: Towardsthe 4th Industrial Revolution

FirstMechanicalLoom1784

Industry 1.0water and steam

End of18th

Century

Start of20th

Century

t

Deg

ree

of

Co

mp

lexi

ty

2. Industrial Revolutionmass production based on

the divisionof labour powered by

electrical energy

Industry 2.0

1. Industrial Revolution through introduction of

mechanical production facilities powered by

Page 7: Industry 4.0 pai

From Industry 1.0 to Industry 4.0: Towardsthe 4th Industrial Revolution

Industry 3.0of production

FirstMechanicalLoom1784

Industry 1.0water and steam

Start of70s

End of18th

Century

Start of20th

Century

t

Deg

ree

of

Co

mp

lexi

ty

3. Industrial Revolution electronics and IT and heavy-

duty industrial robots for a further automization

2. Industrial Revolutionthrough introduction of mass

production based on the division of labour powered by

electrical energy

Industry 2.0

1. Industrial Revolution through introduction of

mechanical production facilities powered by

Page 8: Industry 4.0 pai

From Industry 1.0 to Industry 4.0: Towardsthe 4th Industrial Revolution

001010100100101010

Industry 3.0of production

FirstMechanicalLoom1784

Industry 1.0water and steam

Start of70ies

End of18th

Century

Start of20th

Century

today t

Deg

ree

of

Co

mp

lexi

ty

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 Revolutionthrough introduction of mass

production based on the division of labour powered by

electrical energy

Industry 2.0

1. Industrial Revolution through introduction of

mechanical production facilities powered by

Page 9: Industry 4.0 pai

The Industrial Revolution

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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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SELLING PRICE-

COST PRICE=

PROFIT

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Towards Intelligent Environments based onthe Internet of Things and Services

4) Embedded Computers Smart Factory

1) Central Computer 90% of all3) Smart Phonecomputers areembedded

2) PC, Notebook Smart Card

1 Computer1 User

Many UsersMany Computers, 1 User

20201960 20001941 1980

5) IntelligentEnvironments

4) Embedded Computers Smart

1) Central Computer 3) Smart Phone

2) PC, Notebook Smart Card

1 Computer

1 User Many Computers,

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Vision: Internet der Dinge

Intelligente Umgebungenz.B. Smart City

Future Project Industry 4.0

500 M€ for 3 YearsNational Program:250 M€ Funding of Ministry for Research and Ministry for Economics

Evolution fromEmbedded Systems to Cyber-Physical Systems

Cyber-Physical SystemsEmbedded Systems

Intelligent Environments/Smart SpacesDigital City

Cyber-Physical SystemsSmart Factory, Smart Grid

Networked EmbeddedSystemsIntelligent Street Crossing

Embedded Systems

Airbag

National Roadmap

Agenda

Internet of Things

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Iron Man Suit

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Talos in Greek mythology

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Liquid ArmorIt 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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Industry 4.0: Smart, Green, and Urban Production

Smart ProductionHigh-precision, superior

quality production of high-mix, low volume smart

products

Urban ProductionGreen Productionclean, resource-efficient,

and sustainable

Smart Factories in the cityclose to the employees‘

homes

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What is Smart Manufacturing?

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A future vision

…the integration of data…

Smart Manufacturing is:

…with process expertise…

…to enable “evidence based” management…

…of manufacturing.

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Internet der Dienste

© DFKI GmbH

The Internet of Things and Services as aBasis for the Smart Factories in the Industry 4.0

Products

Plattform

Internet of Things

Smart

App

SmartMaterial

AppPlattform

Semantic PLM-, SCM-, CRM-, QMS- and

ERP-Services SmartFactory

App Plattform

Cyber-PhysicalProduction System

Internet of Services

Page 58: Industry 4.0 pai

Pipelines of Smart Factories for Industry 4.0based on Secure Networks of Clouds

Machine 1

Secure CloudNetworks

SmartProducts

SmartMaterials

Smart Factory 2…N

Smart Factory 1

M2M- Comunication

Smart … SmartMachine N

Application Plattform for Machines

Cyber-Physical Production Systems

CPPS

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Raising the Level of AbstractionIf Smart Manufacturing is such a smart idea why aren’t companies

already doing it?

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What is Smart Manufacturing?

Business (Collaboration, Broader MetricsReal-time Decisions)

Technology(Horizontal & VerticalPervasive)

Workforce(Innovation & Broad-Based)

OrganizationalMindset

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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

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SMLC Priority: Situational Awareness performance tools across the enterprise to manage dynamic production, use,

and storage of essential resources (energy, water, air)

Supply ChainDistribution 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

Page 63: Industry 4.0 pai

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

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Smart Manufacturing is the Application of a Manufacturing Industry Internet

Supply ChainDistribution Center

Customer

Business Systems, ERP

Smart Grid

Smart Factory

New Degrees of freedom forPerformance, efficiency and productivity

Anticipate, plan,manage riskacrosssuppliers

Merging actionablebusiness &Operationsinformation

New formsequipmentbenchmarking

Tracking &traceability

New real-time globalperformancemetrics

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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

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21st Century Manufacturing EcosystemMuch 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

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Products with Integrated Dynamic Digital Storage,Sensing, and Wireless Communication

The product as an information container

CapabilitiesI wasproduced on30 April 2010 and shipped on 3 May 2010– The product carries information

across the complete supply chain and its lifecycle. Grasp at

the middleThe product as an agent

– The product affects istenvironment

2 mins openPlease close!The product as an observer

– The product monitors itselfits environment

and

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Service-oriented planning of plant systemsHardware-independent planning of plant systems

ERP Enterprise Resource Planning

MESManufacturing

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 Servicehardware-independent

Device Controlhardware-dependent

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The SmartFactory Shop Floor: Wireless,RFID-, Sensor- and Service-based Architecture

continuous flow process discrete handling processbottling, handling, labeling, QC, packaging…

Live Webcam: http://www.smartfactory.de/webcam.de.html

discrete handling procebottling, handling, labeling, QC, p

continuous flow procecolored soap production

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Data Mining and KnowledgeSmart 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 DataPublic PrivateForum

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Industrielle Assistenz- systeme

Human-Centered CPS-based AssistanceSystems 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

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App Stores for the Smart Factory: DownloadingTailored User Interfaces for User Groups:

Supervisors…Elderly, Trainees, Disabled,

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Location-based Industrial Assistance Systems in SmartFactories for Resource Efficiency Improvements

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Industrial Environment

Advanced Industrial Assistant Systems Basedon Augmented Reality Technologies

Industrial Workerwith Google Glasses

Mobile, Interactive and Situation-Aware

Tutoring

Tools

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Augmented Reality Systems Supporting Maintenance Staff

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Industry 4.0: Robots are no Longer Locked inSafety Work Cells but Cooperate with Human Workers

Today

Tomorrow

A new generation of light-weight, flexible robots collaborate withhumans in the smart factory

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DFKI’s Fembot AILA: Using the Semantic ProductGrasping and Smart ProductMemory for

AssemblyAdaptive

Stereo Cameras in the Head and a 3DCamera on the Torso for Approachingan Object

Readingfrom the

Size, Weight and Lifting PointsProduct Memory with an

antenna in the left hand – the Robotgets instructions from the product beingproduced in the CPPS

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W3C Standards as a Basis for the Project ofthe 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

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00100100101111111110101011101111111001101011111110100000000000010010010000101000000000100000000010010101010100100

The Software-defined Car: Customizinga Car Environment

Android Market

through AppsApp Store

IntelligentUser

Interface Apps

MotorManagem

entApps

DriverAssistan

ceApps

GreenDrivingApps

1001010110111010001010010010010010001000111101001011111111011111111111110001011100111111101000101001111011110001111111101001101111101001001010

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00010010001001001010100110101011101001001001001010110011010111010010010010010111111001111001 1

00000000100100101001111111111111101000010101001101101010100111110111010100100100100100100100

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1001000110110

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© DFKI GmbH

BMW Apps: Integrating the Most RecentWeb Services Into the Car Environment

Source: BMW

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Conclusions

1. High-precision, superior quality production of high-mix, low volumesmart 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 willlead 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, helptrain the next generation of workers in smart factories.

and

5. Augmented and dual reality systems allow individualized workflows andfast learning of new production processes.

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Thank you very much for your attention.

THANK YOU METALLIX & JADAVPUR UNI