FACTS4WORKERS | Worker-Centric Workplaces in Smart Factories

Summary

It is the high ambition of the project to create "FACTorieS for WORKERS" (FACTS4WORKERS), therefore a serious effort will be put into integrating already available IT enablers into a seamless & flexible Smart Factory infrastructure based on worker-centric and data-driven technology building blocks. As FACTS4WORKERS is underpinned by a clear human-centric approach: usability, user experience and technology acceptance are of the utmost project interest.

FACTS4WORKERS will develop and demonstrate workplace solutions that support the inclusion of increasing elements of knowledge work on the factory floor. These solutions will empower workers on the shop floor with smart factory ICT infrastructure. Advancement will be gained through integrating several building blocks from a flexible smart factory infrastructure, focusing on workers' needs, expectations and requirements, and being supported by organisational measures and change management. In line with our assumptions on impacts on productivity we therefore estimate that that we can increase job satisfaction for 800,000 European workers by the year 2025.

These solutions will be developed according to the following four industrial challenges which are generalise-able to manufacturing in general:

  • personalised augmented operator (IC1),
  • worked-centric rich-media knowledge sharing/management (IC2),
  • self-learning manufacturing workplaces (IC3)
  • and in-situ mobile learning in the production (IC4).

Moreover, FACT4WORKER's objectives in terms of measureable indicators are:

  • To increase problem-solving and innovation skills of workers;
  • To increase cognitive job satisfaction of workers;
  • To increase average worker productivity by 10%;
  • To achieve TRL 5-7 on a number of worker-centric solutions through which workers become the smart element in smart factories

The smart factory demonstrator will be run within the automotive supply chain. The consortium is composed by 15 partners from 7 different EU member states.

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Demonstrators, pilots, prototypes
Demonstrator (project outcome type)
More information & hyperlinks
Web resources: http://www.facts4workers.eu
https://cordis.europa.eu/project/id/636778
Start date: 01-12-2014
End date: 30-11-2018
Total budget - Public funding: 8 439 366,00 Euro - 6 344 544,00 Euro
Cordis data

Original description

It is the high ambition of the project to create “FACTorieS for WORKERS” (FACTS4WORKERS), therefore a serious effort will be put into integrating already available IT enablers into a seamless & flexible Smart Factory infrastructure based on worker-centric and data-driven technology building blocks. As FACTS4WORKERS is underpinned by a clear human-centric approach: usability, user experience and technology acceptance are of the utmost project interest.
FACTS4WORKERS will develop and demonstrate workplace solutions that support the inclusion of increasing elements of knowledge work on the factory floor. These solutions will empower workers on the shop floor with smart factory ICT infrastructure. Advancement will be gained through integrating several building blocks from a flexible smart factory infrastructure, focusing on workers’ needs, expectations and requirements, and being supported by organisational measures and change management. In line with our assumptions on impacts on productivity we therefore estimate that that we can increase job satisfaction for 800,000 European workers by the year 2025.
These solutions will be developed according to the following four industrial challenges which are generalise-able to manufacturing in general: personalised augmented operator (IC1), worked-centric rich-media knowledge sharing/management (IC2), self-learning manufacturing workplaces (IC3) and in-situ mobile learning in the production (IC4).
Moreover, FACT4WORKER‘s objectives in terms of measureable indicators are:
• To increase problem-solving and innovation skills of workers;
• To increase cognitive job satisfaction of workers;
• To increase average worker productivity by 10%;
• To achieve TRL 5-7 on a number of worker-centric solutions through which workers become the smart element in smart factories
The smart factory demonstrator will be run within the automotive supply chain. The consortium is composed by 15 partners from 7 different EU member states.

Status

CLOSED

Call topic

FoF-04-2014

Update Date

27-10-2022
Geographical location(s)
Structured mapping
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Factories of the Future Partnership - Made in Europe Partnership

H2020 - Factories of the Future
H2020-FoF-2014
FoF-04-2014 Developing smart factories that are attractive to workers
Demonstrator (project outcome type)
Skills and training aspects
Publication
Result items:
Innovation Action (IA)
Standards
Comment:
Autonomous Smart Factories Pathway
General purpose software
Spreadsheet/texteditor ERP
Manual data acquisition
Dedicated software in silos
Data acquisition/monitoring/analysis (SCADA) implemented but isolated
Connected IT and OT
ERP-MOM systems connected
Comment:

Data connectors provided to connect any kind of ERP-MOM data sources
 

IoT enabled SCADA, MOM-MES, ERP (…) connectivity
Off-line optimisation
Off-line Digital Manufacturing Process Optimisation on factory level
Off-line Digital Manufacturing Process Optimisation on machine level
Hyperconnected Factories Pathway
General purpose software
Spreadsheet/texteditor ERP
Economic sustainability
Comment:
Flexibility
Supply chain and value network efficiency
Environmental sustainability
Material efficiency
Waste minimisation
Circular economy
Social sustainability
Comment:
Increasing human achievements in manufacturing systems
Occupational safety and health
Information and communication technologies
Data collection, storage, analytics, processing and AI
Data processing
Data acquisition
Data storage
ICT solutions for next generation data storage and information mining
Cognitive and artificial intelligence (AI) technologies - machine learning
IoT - Internet of Things
Human Machine Interfaces
Advanced and ubiquitous human machine interaction
Data spaces
Digital manufacturing platforms - data platforms
Mechatronics and robotics technologies
Measurement, sensing, condition and performance monitoring technologies
Control technologies
Intelligent machinery components, actuators and end-effectors
Engineering tools
System modelling - digital twins, simulation
Knowledge-workers and operators
Interoperability (ICT)
Collaborative and decentralized application architectures and development tools
General interoperability framework
Platform level interoperability
AAA - Access, Authorisation and Authentication
User Acccess and Rights Management
Application level interoperability
Open APIs and Communication Protocols
Industrial Reference ICT Architectures
Reference Architectural Model Industrie 4.0 (RAMI 4.0)
RAMI 4.0 Hierarchy Axis
Field Device
Work station
Work centres - Production lines
Resilience
Scalability
Added value - impact - value proposition
Comment:

high work satisfaction of blue collar workers

Business ecosystems
Business ecosystems associated to digital platforms
Comment:

Main business model is based on providing conultancy for implementing ICT solutions for blue collar workers

Target clients
Comment:

HR depts. and production managers

Manufacturing system levels
Field Device
Work station
Work centres - Production lines
Horizon 2020
H2020-EU.2. INDUSTRIAL LEADERSHIP
H2020-EU.2.1. INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies
H2020-EU.2.1.5. INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Advanced manufacturing and processing
H2020-EU.2.1.5.1. Technologies for Factories of the Future
H2020-FoF-2014
FoF-04-2014 Developing smart factories that are attractive to workers