Kontaktperson
Tomas Olsson
Forskare
Kontakta TomasFUDIPO: Future Directions of Production Planning and Optimized Energy – and Process Industries
FUDIPO will develop and test an integrated set of methods combining mathematical modelling, simulation and machine learning with experiments in pilot and full-scale facilities.
To face this topic, FUDIPO will develop and test an integrated set of methods modelling, simulation and machine learning with experiments in pilot and full-scale facilities. This will take place within a strong consortium of industries (also SMEs), the main users of the developed toolbox, suppliers (also SMEs) that will focus primarily on developing the tools and academic partners deepening the underlying theory (fundamental research) but also developing practical and robust algorithms.
The applications will be for both improvements of existing processes as well as for developments of totally new production system solutions, where experience from existing processes is gathered in the simulation models.
New ICT methodology and toolbox will be developed by advanced dynamic physical models together with simplified versions of these and mathematical methods like Bayesian networks, and developing of machine learning methods to form advanced diagnostic, decision support and optimization/multivariable model based control for process industries and power plants.
FUDIPO
Avslutat
Region Västmanland
Deltagare
2020-09-30
IDENER, BillerudKorsnäs, Tieto, Fraunhofer, Bestwood, MTT, Mälarenergi , ABB
EU H2020