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.

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

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  

Magnesys (2019)

Efficient filtering of metallic impurities in food processing

Read More