2016-10-28
COMPOSITION:
Ecosystem for Collaborative Manufacturing Processes – Intra- and
Interfactory Integration and Automation
Industry 4.0
Secure collaborative manufacturing and supply
chain management with IoT blockchains
Marc Jentsch
Fraunhofer FIT
Co-funded by the
European Union
Industry 4.0 – Factories of the Future
First Industrial
Revolution:
Second Industrial
Revolution:
Third Industrial
Revolution:
Forth Industrial
Revolution:
Mechanical machines
based on water or steam
power
Mass production based on
electrical power
Automation through
electronics
Optimizing production
processes and improving
collaboration through CPS
and IoT
e.g. Mechanical loom
e.g. Conveyor belt
e.g. PLCs
1800
1900
2000
Picture Source: Wikipedia
28.10.2016
IoT for Business - COMPOSITION
2
1
2016-10-28
Looking at one company - Intrafactory
Co-funded by the
European Union
Current Modern Production Processes
28.10.2016
IoT for Business - COMPOSITION
4
2
2016-10-28
Goal to Achieve
• Knowledge what I must change in order to optimize production process
–
–
–
–
–
–
–
–
28.10.2016
Time
Money
Quality
Energy Consumption
Worker Satisfaction
Scrap Production
WIP Inventory
Green Values
IoT for Business - COMPOSITION
5
Approach
Sensor data
Integrate into
central repository
Data analysis for
pattern
recognition
28.10.2016
IoT for Business - COMPOSITION
Modeling and
simulation
6
3
2016-10-28
Integrate Data Into Central Repository
28.10.2016
IoT for Business - COMPOSITION
7
Integrate Data Into Central Repository
Service
Catalog
Message
Message
Applications
Broker
Broker
IP Network
Resource
Catalog
Message
Message
Services
Broker
Broker
Device
Connector
28.10.2016
Message
Broker
IoT for Business - COMPOSITION
Device
Connector
Device
Connector
8
4
2016-10-28
Data Analysis
• Deep Learning
– Rebranding and extending the concept of neural networks
– Deep learning algorithms analyze data assuming they can be interpreted
hierarchically at increasing complexity and abstraction levels
Machine learning
Deep
learning
28.10.2016
Pattern
recognition
IoT for Business - COMPOSITION
9
Data Analysis
Company local data
Network global data
Deep learning
toolkit
Hierarchical data
representation
3°-party data
High-level
analytics &
services
Logistic
Optimization
Workload
Distribution
Life Cycle
Assessment
Sustainability
+ Environment
Goods Disposal
Planning
Recycle Markets
Analysis
Decision makers
28.10.2016
IoT for Business - COMPOSITION
10
5
2016-10-28
Modeling and Simulation
• Enrich events, e.g. such as sensor events, with process meta data
• BPMN 2.0:
– Understandable for Management and Technicians
– Graphical business process modeling
– Executable in process engine
28.10.2016
IoT for Business - COMPOSITION
11
Collaboration in Production Processes - Interfactory
Co-funded by the
European Union
6
2016-10-28
Collaboration in Production Processes
Public Data
Digital Service Offerings
Digital Service Provision
Production
Network
Logistics
Network
Human-MachineCooperation
Interconnectedness
Autonomisation
End-to-End Process
Modern
Data
Management
Internet of Things
Individualisation
Ecosystem
Ubiquity
Custom
er
Commercial
Services
Industrial
Services
Source: Industrial Data Space
Data from Value Chain
• Idea: Create ecosystem to exchange data
28.10.2016
IoT for Business - COMPOSITION
13
Ecosystems
• Success criterium: Address different groups
Sources: Google, Apple, Microsoft, Amazon
28.10.2016
IoT for Business - COMPOSITION
14
7
2016-10-28
New Business Opportunities
Factory
Demand
28.10.2016
Supplier
Capacities
IoT for Business - COMPOSITION
15
New Business Opportunities
Factory
Demand
28.10.2016
IoT for Business - COMPOSITION
Consultant
Data Processing
16
8
2016-10-28
New Business Opportunities
Factory
Demand
Consultant
Data Processing
Capacities
Supplier
28.10.2016
IoT for Business - COMPOSITION
17
Requirements
• Security and Trust
• Brokerage
28.10.2016
IoT for Business - COMPOSITION
18
9
2016-10-28
Trust
Source: Financial Times
28.10.2016
IoT for Business - COMPOSITION
19
Brokerage
• Use Case: Factory is short on M4 screws
• Shortage is predicted
E-Commerce
ERP
REQUEST:
QTY: 200
Type: M4
Delivery Time: 4 days
Composition
Agent
MES/SCADA
AGREEMENT:
QTY: 150
Type: M4
Delivery Time: 1 day
28.10.2016
IoT for Business - COMPOSITION
AGREEMENT:
QTY: 50
Type: M4
Delivery Time: 4 day
20
10
2016-10-28
What the agent does
I can provide up to 100 screws within 2 days at 0.8€ per screw
Is someone able to supply 200 M4
screws within 4 days?
I can provide 150 screws within 1 day for 50€
I can provide 200 screws within 5 days for 60€
28.10.2016
IoT for Business - COMPOSITION
21
Thanks for your attention
All rights reserved.
All copyright for this presentation are owned in full by the COMPOSITION Project.
Permission is granted to print material published in this presentation for personal use only. Its
use for any other purpose, and in particular its commercial use or distribution, is strictly
forbidden in the absence of prior written approval.
COMPOSITION has received funding from the European Union’s Horizon 2020 Framework
Programme for Research and Innovation under Grant Agreement No 723145.
Possible inaccuracies of information are under the responsibility of the project. This
presentation reflects solely the views of its authors. The European Commission is not liable for
any use that may be made of the information contained therein.
Please see us here: www.composition-project.eu
11
2016-10-28
Architecture
28.10.2016
IoT for Business - COMPOSITION
23
Security
• Security by Design
– Authentication
– Access control
– Transport security
28.10.2016
IoT for Business - COMPOSITION
24
12
2016-10-28
What the agent does
OK I would take 150 screws
within 1 day at 45€
I can provide 300 screws at 90€
within 4 days
I would take 100 screws within
3 days at 0.5€ per screw
I can provide screws at
required price within 4 days
No thanks
BUY: 150 screws @ 45€
within 1day
OK
28.10.2016
IoT for Business - COMPOSITION
BUY: 50 screws @ 0.5€
per screw within 4 days
OK
25
13