8 activities of fujitsu group in industrial internet 2016 ... · economy symposium 2016-05-23...

COMMERCIAL IN CONFIDENCE Copyright 2016 FUJITSU LIMITEDCOMMERCIAL IN CONFIDENCE Copyright 2016 FUJITSU LIMITED

Wirtschaftstag Japan 2016- Japan & German economy symposium

2016-05-23 Activities of Fujitsu group in Industrial Internet

Kozo OtsukaProgram Director Digital Business PlatformCTO Office, Fujitsu EMEIA

COMMERCIAL IN CONFIDENCE Copyright 2016 FUJITSU LIMITED2

Create Innovation through People’s Activities

Power Business and Society with Information

Optimize ICT Systems from End to End

Fujitsu’s vision:Human Centric Intelligent Society Food

Agriculture

Green Development Environment

Healthcare

Energy Smart City

EducationCommon

Technologies

TransportationVehicle

Cross industrial digital ecosystems Provide common technologies to establish

Fujitsu – Industrial Digital Ecosystem Provider


Europe IoT market – Industry 4.0 by far the largest

*Source: PAC 2016 Market Size

INTERNET OF THINGS

Vertical Markets

INDUSTRY 4.0 Financial Services

Retail & Hospitality

Transport & Logistics Healthcare

Technology Domains

Local Intelligence

Human Machine

InteractionVertical

IntegrationHorizontalIntegration Security

SITS (Software and IT Services) Markets

Hardware OthersSoftware Service

Segment Market Size*

Vertical

INDUSTRY 4.0 €24.9bn

Utilities & Construction €9.6bn

Transport & Logistics €3.3bn

Healthcare €2.4bn

Retail & Hospitality €1.4bn

Financial Services €0.8bn

Utilities & Constructio

n

The “INDUSTRY 4.0” Vertical Market here means using IT technologies (e.g. cloud computing, mobility, analytics etc.) in order to increase the efficiency and quality of manufacturing production processes and to stay agile in the face of changing market environments.


Fujitsu’s participations in industrial associations

■ Germany■ “Plattform Industrie 4.0”: participation in “Security in networked systems” working group(WG)■ Industry associations, BITKOM* (ICT): participation in “Inter-operability” and “Strategy” WGs

■ Japan■ IVI (Industrial Value Chain Initiative): one of the supporters■ SIP (Strategic Innovation Promotion Prog.): participation in the “Innovative design/

manufacturing technologies” work stream■ USA■ IIC (Industrial Internet Consortium)

• One of the leaders for the “factory operations visibility & intelligence” testbed• One of 9 companies on the IIC steering committee (re-elected in August 2015)

*German Association for Information Technology, Telecommunications and New Media

Cross industrial digital ecosystems In order to establish


Fujitsu’s smart manufacturing approachesVi

rtua

lR

eal

ProductionDesignPlanning

R&DProcurement Logistics Maintenanc

eProduction preparation Sales

Human-Machine Harmonized line，improvement activities in factory Operators/Equipments

Event sensing by IoT platform

Area expansion of engineering cloudEngineering cloud

Engineering Cloud Portal 　RVEC

Analysis tool

CAEs

Design tool

CADsRemote

communication[1]Virtual big meeting

room

Virtual Prototyping Verification

VPS/DMUUtilization of the design

assets & intellectual

[2] Design & Quality assurance automation

Strengthening computing resourcesICT infrastructure Continuous improvement

Ofdigitalized models　

[4] Auto update of operation

improvements

Virtual verification of assembly operation

VPS/MFG

Teaching data creation・prior

verificationRobot-Sim

Production line design/virtual verification

GP4

Flexible adaptation to type change / amount change & disturbance resistance

[3]Corresponding to changes

Real-time tuning of the testing/manufacturing

conditions 　[5] Manufacturing

navigation

Minimization of the effect at the machine

-downtimeFailure sign detection

Check quality and deteriorating factors　Visualization

Production allocation adapted to

environmental change

[6] Dynamic allocation among factories

6 x Approaches to smart manufacturing


Ex.1: Factory Operations Visibility & Intelligence

Real-time data from hundreds of sensors

Real-time failure predictionIn operation

Anomaly detection (rea-time in operation) Detect anomaly situation by analyzing the real-time data Alert

Real-time sensing

data, equipment logs, etc.

Applying the model

Machine learningPreparation

➢ Learn usual operation by data from hundreds – thousands of sensors

➢ Generate usual data model automatically

Generated model

Accumulate

d history

data


Ex. 2: “Kaizen” automation by virtual & real factory

・3D-CAD ・Manufacturing Data

Engineering Cloud

Digital Production preparation (VPS)

-Assembly Evaluation-Assembly procedure design-Process design

Work definition/ VerificationAutonomous Robot

Robot SimulatorVirtual Factory

Process Planning tool (GP4)

Production line planning & verification

Human and machines harmonized manufacturing line

Physical Factory

Wearable sensorGPS inside factory

Image tracking

Ope

rato

r mov

emen

t～po

stur

e de

tect

ion

Adjustment feedbacks

Automated programming

Auto feedbacks from sensors

Production line blue print


Your digital transformation partner

11

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8 activities of fujitsu group in industrial internet 2016 ... · economy symposium 2016-05-23...

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