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© 2013 IBM Corporation Industrie 4.0 Envisioning the future of industrial production with IBM 7.4.2015 Dr. Siegfried Florek Senior Architect [email protected] Plamen Kiradjiev Executive Architect [email protected]

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© 2013 IBM Corporation

Industrie 4.0 – Envisioning the future of industrial production with IBM

7.4.2015

Dr. Siegfried FlorekSenior [email protected]

Plamen KiradjievExecutive [email protected]

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Motivation: SmartFactoryKL Demonstrator@HMI 2014

Movie Trade Fair 2014:

http://youtu.be/FM8JGUoab4I

Industrie 4.0: Progress through networks – Partners

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Progress through networks: SmartFactoryKL Demonstrator 2015

1. Leere Palette aus PILZ

2. Plexiglasboden mit RFID Tag bei

FESTO

3. Metallfeder einlegen bei

BOSCH

4. Farbiger Deckel bei HARTING, Roboter kann andersfarbige Deckel liefern

5. Kundeninividuelles

Lasern, QR Code bei PHOENIX

6. Optische Qualitätskontrolle bei LAPP, Roboter kann Giveaways

einlegen

7. Wägemodul für Kontrolle (kann entnommen /

zugefügt werden)

8. Handarbeit am MiniTec

Arbeitsplatz, mit RFID Leser

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Predictive optimizitation of productivity

Production control station in realtime

Flexible historical perspective

Immediate visualization of topology

changes

Predictive maintenance

User-defined mobile view

Example Module Performance

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Example: Module History & Details

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Example: Module Comparison

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Example Predictive Analytics: Sporadic Motor Failure

EnergyConsumption

increases

ProductionStatus

= Failure

futurepast

Model

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Data Historian

Integration Layer1 2

3Real-time Dashboard Predictive Analytics

Transparency and Visualization in real time

Machine and system connection via Integration Layer

Unified interfaces with modules and infrastructure

Dynamic display of energy data

Structured collection of historical data

Preventive reactions by using analytic methods

Simplified access to plant documentation during maintenance

Flexible priority setting of products

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.

Value for users

Extended Data Monitoring

Crossvendor Integration

Vertical Integration

Consistency to Engineering

Decentralized Production Data

Crossvendor production

process

Improved preventive

reactions

Flexible production

planning close to real time

Enhanced quality of

products

Simplified interaction (e.g.

during maintenance)

Source: 2014-12-04_HMI-

Messemeeting_Nachbereitung.pptx

(SmartFactoryKL)

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IBM`s Industrie 4.0 relevant Offerings and References

IBM Predictive Maintenance & Quality

IBM Cognos, IBM SPSS IBM Informix / BigInsight for

Hadoop

IBM Integration Bus –Manufacturing Pack

IBM MessageSight Appliance

IBM Security Intelligence

IBM Decision Optimization

IBM IoT Cloud Open Platform for Industries

IBM Bluemix IoT Zone IBM IoT Ecosystem