Opendata, web and dolomites

EnCORE SIGNED

Machine state forecasting technology coupled with product quality control to unleash productivity for the manufacturing sector (EnCORE)

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 EnCORE project word cloud

Explore the words cloud of the EnCORE project. It provides you a very rough idea of what is the project "EnCORE" about.

adoption    validated    industry    proprietary    machinery    industries    changing    tremendous    normal    billion    business    software    enclosures    fit    fuel    downtime    period    fuelled    hurts    platforms    labelled    forecast    cope    cumulative    forming    market    penetration    employ    game    grow    compression    moulding    million    sales    employees    longer    impedes    networks    return    breakthrough    solution    profits    caps    pressing    demand    roi    predictive    goods    removing    unlocks    complexity    fruit    food    produces    solutions    rising    workforce    bottle    uses    plastic    direct    model    preparation    beverage    15    machine    neural    cold    blades    unplanned    razor    overheads    manufacturing    deep    manufacturers    maintenance    monolithic    trl    encore    83    43    defective    profitability    oems    correspond    iot    industrial    prediction    data    meet    customers    customer    predictions    13    hybrid    rule    investment    commercialisation    class    learning    sectors   

Project "EnCORE" data sheet

The following table provides information about the project.

Coordinator
CORE INNOVATION AND TECHNOLOGY OE 

Organization address
address: DELAGRAMMATIKA 5
city: CHALKIS
postcode: 34100
website: n.a.

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Greece [EL]
 Total cost 71˙429 €
 EC max contribution 50˙000 € (70%)
 Programme 1. H2020-EU.3. (PRIORITY 'Societal challenges)
2. H2020-EU.2.3. (INDUSTRIAL LEADERSHIP - Innovation In SMEs)
3. H2020-EU.2.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies)
 Code Call H2020-SMEInst-2018-2020-1
 Funding Scheme SME-1
 Starting year 2020
 Duration (year-month-day) from 2020-01-01   to  2020-04-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    CORE INNOVATION AND TECHNOLOGY OE EL (CHALKIS) coordinator 50˙000.00

Map

 Project objective

In the manufacturing sectors, the traditional planned maintenance approach is no longer viable, as it cannot cope with the ever-rising complexity of production systems. This pressing problem hurts industry’s profitability, and unplanned downtime costs industrial manufacturers €43 billion per year. This pressing problem has fuelled the growth of the predictive maintenance market. Currently, predictive maintenance solutions employ typical machine learning approaches based on monolithic rule-based predictions and require from the customer labelled data that correspond to defective machine states. This impedes the penetration of predictive maintenance in the industry. EnCORE is the fruit of 5 years of R&D to develop proprietary deep neural networks fit for predictive maintenance applications. Our solution uses best-in-class deep learning technology removing the overheads related with data preparation and enable the prediction of machine’s future condition using data that correspond to normal machine states. This is a game changing approach in the predictive maintenance industry. EnCORE is at TRL-6, with our software being validated at two different applications, (1) a compression moulding machine that produces plastic bottle enclosures/caps and (2) a cold forming machine that produces razor blades. Our target market will be the Food & Beverage and Consumer Goods industries targeting both OEMs of machinery and End-Users use such machinery. To take our product to the market, we will employ an hybrid business model using both direct sales and sales through industrial IoT platforms. EnCORE’s unique offering unlocks tremendous value for our customers; this will fuel the adoption of our solution by the industry. In the commercialisation period, we forecast cumulative profits of about €15 million with a strong Return on Investment (ROI) of €13 million. This will allow us to grow our workforce by 83 new employees, to meet the expected market demand for our breakthrough product.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "ENCORE" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

The information about "ENCORE" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.3.;H2020-EU.2.3.;H2020-EU.2.1.)

DNA DS (2019)

DNA Data storage

Read More  

ERGOVIAkinematix (2018)

New wearable measurement devices for Industry 4.0 based on gaming motion-capture system

Read More  

MHS (2019)

Metal Hydrides Hydrogen Storage

Read More