Big Data Value Spaces for COmpetitiveness of European COnnected Smart FacTories 4.0

Objective

EFFRA recommendations on Factories 4.0 and Beyond (Sept 2016) clearly stated the need for development of large scale experimentation and demonstration of data-driven “connected smart” Factories 4.0, to retain European manufacturing competitiveness. BOOST 4.0 will address this need, by demonstrating in a measurable and replicable way, an open standardised and transformative shared data-driven Factory 4.0 model through 10 lighthouse factories. BOOST 4.0 will also demonstrate how European industry can build unique strategies and competitive advantages through big data across all phases of product and process lifecycle (engineering, planning, operation, production and after-market services) building upon the connected smart Factory 4.0 model to meet the Industry 4.0 challenges (lot size one distributed manufacturing, operation of zero defect processes & products, zero break down sustainable operations, agile customer-driven manufacturing value network management and human centred manufacturing). Our chief objectives include:
(1) Establish 10 big data lighthouse smart connected factories (VW, FILL, AutoEuropa, +GF+, FIAT, Phillips, Volvo, GESTAMP, Benteler, Whirlpool).
(2) Provide the RAMI 4.0 and IDS based BOOST 4.0 open EU framework and governance model, for both services and data assets.
(3) Put together methodologies, assets, models and communities in order to maximise visibility, mobilization, replication potential, and impact (business, financial, standardization) of BOOST 4.0
The investment leveraging factor of BOOST 4.0 will be well above the 4:1 ratio, up to 10:1. In terms of exploitation, in 5-years horizon after the project end, just only the participating lighthouse factories will make a direct follow-on investment above 33Meuro (ROI 10,61), while the commercialisation of the BOOST 4.0 products in the market is expected to generate some 96Meuro cumulative profits (ROI 4,73) for the rest of the partners.

Field of science

• /social sciences/economics and business/business and management/commerce
• /social sciences/economics and business
• /social sciences/sociology/governance
• /social sciences/sociology/governance/public services
• /natural sciences/computer and information sciences/data science/big data

Programme(s)

• H2020-EU.2.1.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)

Topic(s)

• ICT-15-2016-2017 - Big Data PPP: Large Scale Pilot actions in sectors best benefitting from data-driven innovation

Call for proposal

H2020-ICT-2017-1
See other projects for this call

Funding Scheme

Coordinator

Participants (49)