Raffray, G.
The CoSMo Company SAS, Lyon, France
Guilhem Raffray is a Data Scientist and Modeler. His roles at Cosmo Tech varied from model development, solution design, project management and business development support. During the past 7 yr, he combined his mathematical, engineering and computer science skills in various industrial sectors. He is working as an independent consultant in data science, modelling, optimization and decision making.
Dr. Raffray holds a PhD in Process Engineering and Applied Mathematics.
Radatz, H.,
Schembecker, G., TU Dortmund University;
Raffray, G.,
Sellis, D., The CoSMo Company SAS;
Boto, F.,
Echeverria, Z., Fundación Tecnalia Research and Innovation;
Carrion, A.,
Herce, C.,
Oto, F., Fundación CIRCE—Centro de Investigación de Recursos y Consumos Energéticos;
Gil, A., University of Zaragoza;
Arias, A.,
Borrego, R., DOW Chemical Co.;
Romero, J., Fertinagro Nutrientes S.L.;
Jacinto, J. T., Petróleos de Portugal
The European TOP-REF research consortium has developed and applied a methodology to improve the resource efficiency of industrial production processes.
Radatz, H.,
Schembecker, G., TU Dortmund University;
Raffray, G.,
Sellis, D., The CoSMo Company SAS;
Boto, F.,
Echeverria, Z., Fundación Tecnalia Research and Innovation;
Carrion, A.,
Herce, C.,
Oto, F., Fundación CIRCE—Centro de Investigación de Recursos y Consumos Energéticos;
Gil, A., University of Zaragoza;
Arias, A.,
Borrego, R., DOW Chemical Co.;
Romero, J., Fertinagro Nutrientes S.L.;
Jacinto, J. T., Petróleos de Portugal
The processing industry consumes significant amounts of resources, such as materials and energy, to produce valuable goods for society.