UPV/EHU
Academic
Experts in:
Modeling and simulation
- Valuation of financial products and their risks, portfolio management.
- Multiphysics phenomena.
- Data science.
- Statistical analysis.
- Optimization of industrial processes.
- Scientific programming.
Statistics and Big Data
- Statistical advice and data analysis.
- Time series forecasting.
- Environmental and energy statistics.
- Tourism statistics.
- Customer, market and product studies.
- Biostatistics, epidemiology.
- Design of experiments, clinical trials.
- Health applications.
- Quality and reliability control.
- Production, process and stock control.
- Statistical applications for industry or public administrations.
Optimization
- Product optimization.
- Process optimization.
- Stock optimization.
- Resource optimization.
- Optimization in the location of resources.
- Transport route planning.
- Work planning
- Optimal decision support.
- Optimization of industrial and business processes.
Artificial intelligence
- Neural networks.
- Bayesian networks.
- Machine learning.
- Deep Learning.
Computing
- Programming in scientific languages: Fortran, C, C++, Python, Matlab, R.
- Use of commercial software packages.
- Use of free software packages.
- Data modelling / Databases.
- Implementation of commercial and free software packages.
Areas of experience:
Challenge 1: Health
- Optimization of the planning of the location of primary health care facilities in environments uncertain of the evolution of demographic rates over a time horizon.
- Optimization of ambulance fleet types: Sizing and location in an uncertain environment of service demand.
Challenge 3: Energy
- Optimization of the location of renewable sources (wind, solar, photovoltaic, etc.).
- Optimization of maintenance planning for electricity generators.
- Optimization of energy distribution networks.
Success stories:
Algorithm and scheduling of the optimal allocation of incidents in the internal call centre service and staffing levels
Contract-project in collaboration with the company Eroski S. Coop.
Operational research resources, queuing theory, routing algorithms and linear programming in a SQL, visualbasic and LPSolve environment were used.
Optimising the work organisation of rubber and tyre manufacturing machines
Contract-project in collaboration with the company Eroski S. Coop.
Operational research resources were used, specifically, mixed integer linear programming models in a Python and COIN environment.
Estimation of the quality of Ambulancias Bizkaia’s service using statistical techniques.
Contrato-proyecto en colaboración con la compañía UTE ambulancias Bizkaia.
Se utilizaron técnicas de estimación para el control estadístico de la calidad en un entorno de Python y COIN.
Modelling the management of promissory note programmes
Contract-project in collaboration with the company PFK Attest.
Operational research resources were used, specifically mixed integer linear programming models in a C++ and COIN environment.
Algorithm for finding optimal rectangular regions on irregular workpieces, to be implemented on wood cutting machines.
Contract-project in collaboration with the company Luzan Arzubia S.L.
Non-linear optimisation resources were used with restrictions imposed by the geometry of the problem in a C++ environment.
