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FoF and Made in Europe Partnership
Demonstrators, pilots, prototypes
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Manufacturing future products
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Pathways
Pathways
Overview
Pathways
Autonomous Smart Factories Pathway
General purpose software
Spreadsheet/texteditor ERP
Spreadsheet/texteditor MOM
Manual data acquisition
Dedicated software in silos
Dedicated ERP software implemented
Dedicated MOM Software Implemented
Data acquisition/monitoring/analysis (SCADA) implemented but isolated
Connected IT and OT
ERP-MOM systems connected
MOM-SCADA systems connected
IoT enabled SCADA, MOM-MES, ERP (…) connectivity
Humans actively connected
Off-line optimisation
Off-line Digital Manufacturing Process Optimisation on factory level
Off-line Digital Manufacturing Process Optimisation on machine level
Platform enabled optimisation
Realtime optimisation
Autonomous /online/realtime Manufacturing Process Optimisation on factory level
Autonomous /online/realtime Manufacturing Process Optimisation on machine level
Collaborative Product-Service Factories Pathway
Product, no Service
Use of CAD systems
Use of PDM systems
Product and disjoint Service
PLM Systems (integrating CAD and PDM)
Use of CRM Systems
Service-enabled Product Design
Voice of suppliers Customers / Users
Service orient. Product Design (integration of PLM and CRM)
Product-Service Innovation
Closed loop PSS Design (Connected to users data)
Service Innovation and new Business Models
Product-Service Symbiotic Evolution
Digital Platforms for next generation PS Systems lifecycle management
Hyperconnected Factories Pathway
General purpose software
Spreadsheet and text editor based SCM, CRM
Administrative transactions digitalised
Spreadsheet/texteditor ERP
Dedicated software in silos
SCM implemented
ERP implemented
Basic internal connectivity
ERP and SCM connected
Dedicated IT connection to some supply chain partners
High level planning using dedicated digital connections
SCM - MES - ERP Software connected to SCM - MES - ERP software of suppliers or customers
Forecasting of required capabilities
Dynamic IT connections to new supply chain partners
Common digital platform used for tenders and bidding
Visibility of work in progress
Dynamic detailed scheduling and rescheduling
Cybersecurity Pathway
Security level 1
(Systemic) Penetration Testing
Physical and logical password
Malware (including Ransomware, APT, Virus, ...) protection
Logging and monitoring, machine learning and AI - Cybersecurity Controls
Security level 2
Password policy
Transmission data protection
Multi-factor authentication
Physical security
Security level 3
Security training and awareness
Token management
User account management
Personnel vetting procedures
Security level 4
Database integrity
Software integrity
Back Office data flow security
Intrusion detection
Privileged account control
Security level 5
Digital platform environment segregation
CyberSecurity incident response capability - CSIRT
User session integrity
Critical activity outsourcing
Transaction controls
Data Space Pathway
DS Pathway - Maturity Levels
No Data Control
No Data Management Culture in the company
No specific Data Protection measures in place regarding storage, computation and transfer of data
Data not processed or processed by default procedures out of control for the company
Data visualisation tools not implemented or implemented by third parties out of control of the company
Data Sharing not implemented or implemented without any control
Data analytics not performed or performed by third parties out of control of the company
Data Silos
Data stored in Enterprise Application and managed from there
Each single Enterprise Application (ERP SCM PLM) is responsible for Data Protection
Data processed inside Enterprise Applications (ERP SCM PLM) according to architectures and tools predefined by them
Data visualisation tools embedded in Enterprise Applications on top of predefined sets of Data
Data Sharing allowed from inside Enterprise Applications to a predefined value ecosystem
Data Analytics procedures implemented (and replicated) from inside Enterprise Applications only
Data Bridges
Data visualisation applications are developed ad-hoc cross-silos to show data coming from different sources
Data Sharing from different sources implemented for specific suppliers and customers
Data Analytics procedures implemented across silos in an ad-hoc fashion
Cross application Data Management Bridges
Secure Data Bridges between silos implemented on a case-by-case basis
Data Processing architectures (embedded, edge, cloud) implemented for ad-hoc data bridges in Enterprise Applications
Data Interoperability
Common Data Protection mechanisms and tools are shared at company level and used in every application
Common Data Processing architecture adopted for all Enterprise Applications, both Data at Rest and Data in Motion
Common agreed repository of Data Visualisation tools is shared in the company, at disposal for any application
A common and agreed architecture for secure and sovereign Data Sharing implemented
Common set of data management application applied to data Source and Enterprise Application
Common repository of Data Analytics tools is shared in the company, at disposal for any application
Data Valorisation
Data Management Application used to assign a value to data
Data Protection mechanisms associated to Data Spaces increase the value of Data
Data Processing tools associated as a service to Data Sets, increasing value in the Data Space and implementing Data Economy services
Data Visualisation tools associated as a service to available Data Sets, increasing their value in the Data Space and implementing Data Economy services
Data Sharing applications associated as a service to available Data Sets, increasing value in the Data Space and implementing Data Economy services
Data Analytics tools associated as a service to available Data Sets, increasing their value in the Data Space and implementing Data Economy services
Data Space Pathway - Data oriented challenge dimensions
DS Pathway - Data management levels
No Data Management Culture in the company
Data stored in Enterprise Application and managed from there
Cross application Data Management Bridges
Common set of data management application applied to data Source and Enterprise Application
Data Management Application used to assign a value to data
DS Pathway - Data protection levels
No specific Data Protection measures in place regarding storage, computation and transfer of data
Each single Enterprise Application (ERP SCM PLM) is responsible for Data Protection
Secure Data Bridges between silos implemented on a case-by-case basis
Common Data Protection mechanisms and tools are shared at company level and used in every application
Data Protection mechanisms associated to Data Spaces increase the value of Data
DS Pathway - Data Processing Architecture Implementation Levels
Data not processed or processed by default procedures out of control for the company
Data processed inside Enterprise Applications (ERP SCM PLM) according to architectures and tools predefined by them
Data Processing architectures (embedded, edge, cloud) implemented for ad-hoc data bridges in Enterprise Applications
Common Data Processing architecture adopted for all Enterprise Applications, both Data at Rest and Data in Motion
Data Processing tools associated as a service to Data Sets, increasing value in the Data Space and implementing Data Economy services
DS Pathway - Data Visualisation and User Interaction
Data visualisation tools not implemented or implemented by third parties out of control of the company
Data visualisation tools embedded in Enterprise Applications on top of predefined sets of Data
Data visualisation applications are developed ad-hoc cross-silos to show data coming from different sources
Common agreed repository of Data Visualisation tools is shared in the company, at disposal for any application
Data Visualisation tools associated as a service to available Data Sets, increasing their value in the Data Space and implementing Data Economy services
DS Pathway - Ecosystems for Data Sharing
Data Sharing not implemented or implemented without any control
Data Sharing from different sources implemented for specific suppliers and customers
Data Sharing allowed from inside Enterprise Applications to a predefined value ecosystem
A common and agreed architecture for secure and sovereign Data Sharing implemented
Data Sharing applications associated as a service to available Data Sets, increasing value in the Data Space and implementing Data Economy services
DS Pathway - Data Analytics Implementation Levels
Data analytics not performed or performed by third parties out of control of the company
Data Analytics procedures implemented (and replicated) from inside Enterprise Applications only
Data Analytics procedures implemented across silos in an ad-hoc fashion
Common repository of Data Analytics tools is shared in the company, at disposal for any application
Data Analytics tools associated as a service to available Data Sets, increasing their value in the Data Space and implementing Data Economy services
Circular Economy Pathway
CE Pathway - Maturity Levels
CE Pathway - Maturity Level 1 - Linearity
Any toxic substances should not be used to create products
Quality monitoring to avoid unnecessary scraps
Information technologies to gather processes data
Ad-hoc engagement of individuals, not comprehensive engagement
Contractual obligations based on regulations
Reporting and measuring only the legal responsibilities related to recycling and other environmental obligations
CE Pathway - Maturity Level 2 - Industrial Circular Economy Piloting
Material used should be the minimum amount required to respect product functionalities and design (resource sufficiency)
Production processes must require limited amount of energy
Company systems integration (e.g. ERP, MRP, PDM, PLM…)
Engagement and awareness raising, systemic empowering through champions
Code of conduct guideline for circularity/sustainability of materials.
Targets and KPIs set up for circularity pilots
CE Pathway - Maturity Level 3 - Systemic Material Management
Systematic identification of possibilities to reuse, refurbish and remanufacture
Transportation modes (reverse logistics), internal recycling of materials
Disassembly and remanufacturing enabling technologies introduced on the shop-floor
Cultural transformation and qualified people (skills)
Circularity objectives discussed at value chain level. Stakeholder engagement systematically considered.
Operative KPIs for resourcesufficiency/ decrease of waste etc.
CE Pathway - Maturity Level 4 - Circular Economy Thinking
Eco-design of products
Building industrial synergies/closed loop models
Digital platform integration enabling the interaction among value chain actors
Circular suppliers selection and value network level indicators
Capabilities to dynamic collaboration new partners ,research and innovation partnerships launched
LCA analysis over the product lifecycle, KPIs for foot print.
CE Pathway - Maturity Level 5 - Circularity
Changing business model towards product-service-systems and X as service approaches at ecosystem level
Circular systems and process at value network/ecosystem level
Collaborative business processes and workflows are used over the product life cycle
Sustainable government requirements and European Green Deal
Digital ecosystems enabling circularity, partnering with customers making use of knowledge
Circularity indicators (based on the forthcoming standard)
Circular Economy Pathway - Dimensions
Circular Economy Pathway - Products Dimension
Any toxic substances should not be used to create products
Material used should be the minimum amount required to respect product functionalities and design (resource sufficiency)
Systematic identification of possibilities to reuse, refurbish and remanufacture
Eco-design of products
Changing business model towards product-service-systems and X as service approaches at ecosystem level
Circular Economy Pathway - Process Dimension
Quality monitoring to avoid unnecessary scraps
Production processes must require limited amount of energy
Transportation modes (reverse logistics), internal recycling of materials
Building industrial synergies/closed loop models
Circular systems and process at value network/ecosystem level
Circular Economy Pathway - Platform Dimension
Information technologies to gather processes data
Company systems integration (e.g. ERP, MRP, PDM, PLM…)
Disassembly and remanufacturing enabling technologies introduced on the shop-floor
Digital platform integration enabling the interaction among value chain actors
Collaborative business processes and workflows are used over the product life cycle
Circular Economy Pathway - People Dimension
Ad-hoc engagement of individuals, not comprehensive engagement
Engagement and awareness raising, systemic empowering through champions
Cultural transformation and qualified people (skills)
Circular suppliers selection and value network level indicators
Sustainable government requirements and European Green Deal
Circular Economy Pathway - Partnership Dimension
Contractual obligations based on regulations
Code of conduct guideline for circularity/sustainability of materials.
Circularity objectives discussed at value chain level. Stakeholder engagement systematically considered.
Capabilities to dynamic collaboration new partners ,research and innovation partnerships launched
Digital ecosystems enabling circularity, partnering with customers making use of knowledge
Circular Economy Pathway - Performance Dimension
Reporting and measuring only the legal responsibilities related to recycling and other environmental obligations
Targets and KPIs set up for circularity pilots
Operative KPIs for resourcesufficiency/ decrease of waste etc.
LCA analysis over the product lifecycle, KPIs for foot print.
Circularity indicators (based on the forthcoming standard)
Energy Efficiency Pathway
Limited Visibility of Energy Performance
Manual data acquisition on Energy Efficiency
Limited Metering (Facility Level) - Spreadsheet based Reporting
No Impact Assessment in Place (Energy Efficiency)
Process Level Energy Performance Monitoring
Structured Data Collection (for Energy Efficiency)
Sub Metering and IoT Sensors (Energy Profiling at Process Level)
Ad-hoc Process Level Impact Assessment (Energy Efficiency)
Energy Performance Insights
Visualisation of Energy Flows
Energy Data Analysis - Trends and pattern analysis
Systematic Approach to Impact Assessment
EN 16247 Energy Audit (Part 1, 2 & 3)
Energy Efficiency Informed Decision Making
Application of Energy Efficiency Key Performance Indicators (KPIs)
Use of Energy Models - Demand prediction & forecasting)
Quasi-Real-Time Impact Assessment (online)
EN 16231:2012 Energy Efficiency Benchmarking Methology
Online Continuous Energy Management
Automated KPI Tracking (for Energy Efficiency)
Energy-centric Digital Twins - Online process optimisation
Energy Efficiency Assessment extende to entire Value Network
ISO 50001 Energy Management Systems