Davide Dalle Carbonare from Engineering June 18 The BDVA Smart Manufacturing Industry group is going to present in this webinar, challenges and opportunities related to the adoption of Big Data-driven solutions in the manufacturing domain. Following the grand scenarios defined by EFFRA (Smart Factory, Smart Supply Chain, Smart Product), the discussion will make use of real cases and pilots from research projects to elaborate on the topic.

1. BDVA
Smart Manufacturing Industry group
Davide Dalle Carbonare
Senior Researcher at Engineering Ingegneria Informatica SpA
Sergio Gusmeroli
Research Coordinator at Politecnico of Milan
BDVe webinar, June 18th 2019
Big Data in the Smart
Manufacturing Industry

2. To exchange views and learn from
each other experiences, on what
activities are running in EU and
within the different countries.
To identify present and future
challenges to be addressed and to
provide input for policy-makers at EU
and member states level.
80+
subscribed
The Smart Manufacturing Industry group

3. A discussion paper on Big Data challenges for BDVA
and EFFRA Research & Innovation roadmaps
alignment
Version 1, 2018
The FOF background is materialized by its validation
business scenarios of Smart Factory, Smart Product and
Smart Supply Chains as projected to 2025 by the
Connected Factories personas.
Developed in 15 months with workshops at BDVA
Summits and BDVA Activity Group meetings.
SMI Discussion Paper v1
Paper available at:
http://www.bdva.eu/downloads

4. SMI Discussion Paper v1 – Grand Scenarios
Smart
Factory
Smart
Factory
Industry 4.0 Scenarios
Factory Automation
Machinery & Robots
Internal Logistics
Smart Workplaces
Cyber Physical Systems
Production Monitoring Ctrl
Predictive Maintenance
Zero Defect Manufacturing
Smart
Product
Lifecycle
Smart
Product
Lifecycle
Product-Service Systems
Ideation LivingLabs
Product Design Engineering
Product Tracking & Tracing
As-design As-built As-Maint
End of Life Circular Economy
Post-sales Services
Sharing & Service Economy
Predictive Maintenance
Smart
Supply
Chain
Smart
Supply
Chain
Supply Chain Management
Value Networks
Business Ecosystems
Cross-sector Ecosystems
System Interoperability
Human Collaboration
Business Modelling
Innovation Ecosystems
Co-opetition Models

5. SMI Discussion Paper v1 – Challenges
PROCESSES
Smart Product
Lifecycle
Smart Product
Lifecycle
Smart Supply
Chain
Smart Supply
Chain
Smart FactorySmart Factory
Data Mgmt &
Lifecycle
Data Processing
Architectures
Data Protection
Security
Data
Visualisation
Data Analytics,
Models Simulation
BDVASRIATECHNOLOGIES
CPPS generated Product generated Company generated
Stream RT Processing Batch Processing Distributed Processing
Factory Simulation Product Design Ecosystems Models
Mixed Criticality Confidential Data Dynamic Sovereignity
Smart Workplace 3D Visualization Collaborative Work

6. PROCESSES
CPPS generated Product generated Company generated
Stream RT Processing Batch Processing Distributed Processing
Factory Simulation Product Design Ecosystems Models
Mixed Criticality Confidential Data Dynamic Sovereignity
Smart Workplace 3D Visualization Collaborative Work
Smart Product
Lifecycle
Smart Product
Lifecycle
Smart Supply
Chain
Smart Supply
Chain
Smart FactorySmart Factory
Data Mgmt &
Lifecycle
Data Processing
Architectures
Data Protection
Security
Data
Visualisation
Data Analytics,
Models Simulation
BDVASRIATECHNOLOGIES
SP1-4
SP5-6
SP7-10
SP11-12
SP13-17
SSC1-5
SSC6-7
SSC8-12
SSC13
SSC14-15
SF1-5
SF6-8
SF9-15
SF16-19
SF20-24
56challenges
SMI Discussion Paper v1 – Challenges

7. Smart
Factory
Smart
Factory
Smart
Product
Lifecycle
Smart
Product
Lifecycle
Smart
Supply
Chain
Smart
Supply
Chain
CPS Data Sources Integration
Hybrid Clouds and Edge Automation Architectures
Prescriptive Analytics in Industrial Plants
Sensitive Data Privacy in Future Workspaces
Context-aware Visualization in Smart Workplaces
Product Design Interoperability
Data at Rest (in Motion) for Smart Product Pre-(Post-)production
Real Time Analytics in Smart Products operations
Privacy Preservation in Smart Products post-production and operations
VR/AR in maintenance and operations of complex Smart Products
Data traceability in value networks
Real-time supply chain-data processing
Analytics-based decision support in Business Ecosystems
Cybersecurity and Trust in Agile Value Networks
Customised User Interface in Business Ecosystems
SMI Discussion Paper v1 – Challenges

8. A discussion paper on Big Data challenges …
To align BDVA, EFFRA, euRobotics, AIOTI ...
Version 2, 2019
Condense and prioritize Technical Challenges
Include Legal/Ethical, Business and Skills aspects
Link with SRIDA on AI
Relevant topics (e.g. Digital Twin)
Data Sharing Spaces
AI- and Data-driven Recommendations to Digital Europe
SMI Discussion Paper v2
[…
in progress]

9. www.bdva.eu