Opendata, web and dolomites


Automated real-time production forecasting for industry

Total Cost €


EC-Contrib. €






Project "WORKSHOP4.0" data sheet

The following table provides information about the project.


Organization address
postcode: 48200
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 Spain [ES]
 Project website
 Total cost 71˙429 €
 EC max contribution 50˙000 € (70%)
 Programme 1. H2020-EU.2.3.1. (Mainstreaming SME support, especially through a dedicated instrument)
2. H2020-EU.2.1.2. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies – Nanotechnologies)
 Code Call H2020-SMEINST-1-2015
 Funding Scheme SME-1
 Starting year 2016
 Duration (year-month-day) from 2016-02-01   to  2016-07-31


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    VEIGALAN ESTUDIO 2010 ES (DURANGO) coordinator 50˙000.00


 Project objective

'Workshop managers face daily the challenge to execute their production plans at the lowest product rejection rates and costs. Rejections can be due to multiple kinds of defects in the manufactured piece. Each kind of defect is co-related to the particular parameters of production and the surrounding environment that have converged during the manufacturing process of the defective piece. At modern workshops the number of converging parameters during production can range from several hundreds to thousands. In serial production, defects are more prevalent at the beginning of the production of each new reference, until all production parameters are correctly set-up, but it’s also frequent to suffer involuntary, environmental or unavoidable modifications of parameters that also cause defective production.The problem of defective production is particularly relevant the higher the value of the workpieces produced and the shorter the production series. The evolution of the industrial production worldwide, and specially in advanced economies like Europe, tend towards a higher customization of products, thus to shorter series of higher cost and value pieces, making the problem of defective production a increasingly relevant issue for the competitiveness of industry.VEIGALAN has developed WORKSHOP4.0, a tool based on big data and artificial intelligence technologies that forecasts in real time the optimum working conditions for production processes involving material melting or fluency. WORKSHOP4.0 is capable to forecast the optimum production parameters at the beginning of a new series and re-calculate the new optimum parameters when unexpected, even un-noticed, defect producing events happen.' '

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The information about "WORKSHOP4.0" are provided by the European Opendata Portal: CORDIS opendata.

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