Smart Factories (Parallel Session 1.4)
- Big Data Challenges for Industry 4.0 – Dr Óscar Lázaro (Innovalia)
- Boost 4.0 reference architecture – Dr Athanasios Poulakidas (Intrasoft)
- European Industrial Data Space vision & business reference architecture
- Mr Christoph Mertens (IDSA)
- Boost 4.0 in action:
- Industrial Data Space implementation for Zero Defect Manufacturing, Dr Roberto Pérez (+GF+)
- Big data predictive analytics for after-sales service optimization, Claudio Broggio (SAS)
- Big Data approaches for lot size one machine tool design optimization, Dr Matthias Grimmer (FILL GmbH)
- Industry 4.0 SME challenges solved through industrial big data analytics, Sergio Gusmeroli (Engineering)
- European Data Incubation and industrial challenges,Mr Davide Dalle Carbonare (Engineering)
The “Cognitive Factory” term appeared for the first time in 2009. Almost a decade later, with the reduction of costs in computing, storage and sensing hardware and the advances in artificial intelligence, cloud, mobile technologies and IoT/CPS, it is now possible to realise such data-intensive manufacturing vision.
Data lies at the heart of Industry 4.0 (Mckinsey, PwCi), the experience economy and the manufacturing digital transformation towards “servitized” product service systems and outcome-based digital business models; as opposed to traditional product ownership business models. But the massively growing information flow brings little value without the right analytics techniques. The rapidly growing number of sensors, embedded systems and connected devices, as well as the increasing horizontal and vertical networking of value chains, resulting in a huge continuous data flow. In fact, the manufacturing sector generates more data annually than any other sector in the EU or US economy (IDC) and manufacturing industry (83%) expects data to have a big impact on decision-making in 5 years. To leverage the cognitive Factory 4.0 model it is important to build a shared vision and reference model for data-intensive services in connected smart factories.
The session will discuss the main challenges for the development of data-driven solutions for Industry 4.0, as well as, introduce reference architectures and visions for the development of the foundations of a European Industrial Data Space. The session will also present practical use cases on the approaches taken by European industry to exploit and leverage the power of Big data analytics. The session will also address approaches to engage SMEs in the exploitation of big data technologies for optimisation of operations as well as the future role of cloud-edge integration and distributed computing capabilities to bring analytic capabilities closer to automation equipment and digital shop-floor.