In Progress

 

Finished

Research Area
Research for Industry – Call Factories of the Future (H2020-FoF-09-2017)

Start Date
2017-11-01

End date
2020-10-31

Status
Finished

Members
de Uña-Álvarez, Jacobo and Pardo Fernández, Juan Carlos, via Technological Institute for Industrial Mathematics – ITMATI

Description
PreCoM is a 3-year project, funded by the Horizon 2020 Programme, which aims to deploy and test a predictive cognitive maintenance decision-support system to improve preventive maintenance and ultimately increase in-service efficiency of machines. It will be demonstrated in three different use cases with low volume, high volume and continuous manufacturing.

See link

News
PreCoM Workshop 1 at demonstration companies Sakana and Goma-Camps. 15-17 January 2018. Basque and Catalonia Regions, Spain. See link

PreCoM Executive Board meeting 1. 9 February 2018. Växjö, Sweden. See link

PreCoM Workhop WP3-AP4. 19-20 April 2018. Santiago de Compostela. See link

Technical Workshop and Executive Board meeting 2. 18-19 June 2018. Prešov (Slovakia). See link

Research Area
Research for Industry –

Start Date
2017-04-01

End date
2018-12-31

Status
Finished

Members
Roca Pardiñas, Javier via Technological Institute for Industrial Mathematics – ITMATI

Description
The main objective of OTEAres experiment is to deploy a predictive tool which enables to detect maintenance incidents before they happen, based on historical real time data monitored by means of the platform of remote management of facilities OTEA. The implemented tool will apply mathematical and statistical algorithms in order to get a reliable predictive maintenance, improving the efficiency of the current system, extending the equipment life cycle and allowing a smarter management of resources. In addition, an increment of the OTEA platform value is expected given that it will be offered a more complete service to the clients whereas the maintenance cost will be reduced

See link

Research Area
Research for Industry –

Start Date
2014-11-07

End date
2015-07-07

Status
Finished

Members
Mosquera Rodríguez, Manuel Alfredo and Fiestras Janeiro, María Gloria vía Technological Institute for Industrial Mathematics – ITMATI

Description
Technological support in the areas of modeling and mathematical resolution of operational research problems

Research Area
Research for Industry –

Start Date
2015-04-06

End date
2015-10-06

Status
Finished

Members
Roca Pardiñas, Javier and Martínez Villanueva, Nora via Technological Institute for Industrial Mathematics – ITMATI

Description
Forecast of the risk of incidences in the system declimatic depending on the external temperature (SmartOTEA-SE01)

Research Area
Research for Industry –

Start Date
2018-01-09

End date
2018-06-08

Status
Finished

Members
Roca Pardiñas, Javier; de Uña Álvarez, Jacobo; and Lamas Piñeiro, Beatriz via Technological Institute for Industrial Mathematics – ITMATI

Description
Study to establish the distribution of statistics in the measurements of errors of solar collectors (in the framework of the SIGMA project)

Research Area
Basic Research

Start Date
2015-01-01

End date
2017-12-31 (2018-12-31 extension)

Status
Finished

Project leaders
de Uña-Álvarez, Jacobo; Pardo Fernández, Juan Carlos

Description
Statistical methods are crucial to understanding the reality. Their applications include since health, industrial engineering or the biology studies to the environmental and social sciences. In these and other fields, the increasing availability and complexity of the data, requires the development of suitable statistical methods and the study of their properties. Thus, mathematical statistician finds himself ahead of high variety challenges. First of all, to propose a model joined with a statistical method that may attack the problem. In second place, the theoretical properties of the method proposed should be studied to identify the situations in which it´ll provide suitable replies. In third place, to make simulation studies to research the functioning of the method in real cases. Finally, to prepare an easy – to – use computer code or software for help to the users concerned in the practical implementation of the method proposed. This project is trying to cover all these aspects in the Statistics research.

Research Area
Research for Industry

Start Date
2014-01-01

End date
2015-12-31

Status
Finished

Members
de Uña-Álvarez, Jacobo; Roca Pardiñas, Javier

Description
The goal of this project is to exploit the complex, available data for telecom operators so they can improve their profit.

Research Area
Research for Industry

Start Date
2013-01-01

End date
2014-12-31

Status
Finished

Members
de Uña-Álvarez, Jacobo; Roca Pardiñas, Javier

Description
The goal of this project is to develop a model to identify the profile of demand of a standard ship at seaport, together with a model for economic-environmental viability.