WHAT WE DO

It becomes apparent particularly in process industries that cognition can improve the behavior of a complex process system. The capability to observe and monitor the behavior is crucial, its necessary to combine digital twins which are driven by domain models, with the models derived from data. In order to realize it, we need a real-time processing layer. FACTLOG offers such a layer and aims at deploying and adjusting it to several process industries. FACTLOG is driven by several specific business cases in the process industry and focuses in innovation about Analytics, AI and Optimization on the Deployment and Assessment of coherent Enhanced Cognitive Twins for the specific sectors represented in the project.

THE PILOTS OF THE PROJECT

Waste-to-fuel Transformer Plants

Developing and selling waste-to-fuel transformer plants. These plants are transforming any hydrocarbon-based waste into a high-quality synthetic diesel. The quality of the synthetic diesel fuel is one of the highest.

Oil Refineries

Operates in four refineries of crude oil. Produces many petroleum products with high level of energy consumption. Emerging technologies leading to the cognitive refinery approach are very crucial for producing in a more sustainable and efficient way

Textile Industry

Manufacturer of fine woolen of fabrics to world-leading fashion brand manufactures (Zegna, Gucci, Prada, Louis Vuitton, Hermès) that compete on design proposal, customisation and quality of products, having left the cost competition arena.

Automotive Manufacturer

Top worldwide electronic manufacturer. Products with high complexity degree, with routings: Surface Mount Technology lines; Printed Circuit Board Area; Final Assembly and Test Area; Packaging and delivery operation

Steel Manufacturer

Largest supplier of steel reinforcement and associated products for concrete. With a network of strategically placed manufacturing locations, is able to meet all customer requirements regardless of the size of the project

NEWS

FACTLOGFollow

TAGES RDI @TAGES_RDI·

3 Feb

With the #DigitalCognitiveTwins in @factlog_EU, you can use less clean water at your factory. #FACTLOG offers a solution towards #sustainability and create an impact for @connectSDGs #6 goal. More info at → http://factlog.eu
#UN #SDGs #Industry40 #DigitalCognitiveTwins

Reply on Twitter 1356874288935149568 Retweet on Twitter 13568742889351495683 Like on Twitter 13568742889351495683 Twitter 1356874288935149568

TAGES RDI @TAGES_RDI·

3 Mar

Catches and identifies anomalies saves energy and raw material ☑️ At our project @Factlog_EU, #DigitalCognitiveTwins prevents water pollution and makes the process industry energy efficient. Click to learn how → https://www.factlog.eu/
#Factlog #IoT

Reply on Twitter 1367042314280001539 Retweet on Twitter 13670423142800015393 Like on Twitter 13670423142800015393 Twitter 1367042314280001539

TAGES RDI @TAGES_RDI·

10 Feb

@factlog_EU ensures sustainable consumption and production patterns with #cognitivedigitaltwins by offering factories a ready-to-use toolset analyzing, self-adjusting and optimizing production under a variety of economic or sustainability criteria👉🏼 http://www.factlog.eu #SDGs

Reply on Twitter 1359431011281559553 Retweet on Twitter 13594310112815595534 Like on Twitter 13594310112815595534 Twitter 1359431011281559553

TAGES RDI @TAGES_RDI·

16 Feb

At high volume process tanks, IoT data is either unreliable or has no space or time to react.With @factlog_EU ’s predictive analysis engineer will be able to interfere proactively to the processes, hence improving the output quality→http://factlog.eu #CognitiveDigitalTwin

Reply on Twitter 1361580205769424898 Retweet on Twitter 13615802057694248982 Like on Twitter 13615802057694248983 Twitter 1361580205769424898

NEWSLETTERS

Newsletter #1: FACTLOG Project Vision

Previous 12

Go To News & Future Events

OUR PARTNERS

It will be implemented by a just right consortium of twenty partners, five of which are manufacturers and a further three represent manufacturing clusters. Technology and scientific contributors from leading academic institute and focused ICT vendors (mostly SMEs) bring in all necessary knowledge and innovation