© 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]
1
Motivation: SmartFactoryKL Demonstrator@HMI 2014
Movie Trade Fair 2014:
http://youtu.be/FM8JGUoab4I
Industrie 4.0: Progress through networks – Partners
2
3
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
4
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
5
Example: Module History & Details
6
Example: Module Comparison
7
Example Predictive Analytics: Sporadic Motor Failure
EnergyConsumption
increases
ProductionStatus
= Failure
futurepast
Model
9
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
10
11
.
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)
12
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
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