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Jean-Marie Fuerbringer

jean-marie.furbringer@epfl.ch

EPFL SB SPH-GE
PH D1 392 (Bâtiment PH)
Station 3
1015 Lausanne

EPFL SB SPH-GE
PH D1 392 (Bâtiment PH)
Station 3
1015 Lausanne

EPFL SB SPH-GE
PH D1 392 (Bâtiment PH)
Station 3
1015 Lausanne

Expertise

Design of experiments, Sensitivity analysis, Competence management
Jean-Marie Fürbringer graduated with a degree in Physics at EPFL in 1987. Developing his doctoral research on sensitivity analysis of simulation models, he was awarded the doctoral degree by EPFL in 1992. From 1995 to 1997, Dr Fürbringer was visiting researcher at the NIST in Gaithersburg (Maryland). In 1997, Dr Fürbringer was appointed visiting professor with the Faculty of Engineering Science at the Catholic University of Lima (PUCP). While at PUCP, he also established and managed the Learning Center of Graña y Montero, which provides training and competency management for the five companies of the group. In 2001, Dr Fürbringer joined the laboratory of production and processes (LGPP) at EPFL where he led and managed several research projects on competency management and engineering education. From 2007 to 2010, he was deputy director of the Institute of Mechanical Engineering. Dr Fürbringer was appointed to the position of deputy dean of the EPFL Doctoral School in 2010 where he has worked till fall 2013. From November 2013 he has been attached to the Section of Physics as research associate. He is lecturer at the bachelor, master and doctoral level.

Selected publications

Design of experiment approach applied to reducing and oxidizing tolerance of anode supported solid oxide fuel cell. Part I: Microstructure optimization

A. Faes, J.-M. Fuerbringer, D. Mohamedi, A. Hessler-Wyser and G. Caboche et al.
Published in 9th European SOFC Forum, Lucerne, SWITZERLAND, Jun 29-Jul 02, 2010. in

A fuzzy approach for the evaluation of competences

Pepiot G.; Cheikhrouhou N.; F�rbringer; J.-M.; Glardon R.
Published in International Journal of Production Economics, 2006 in

M�thodologie COMET pour une gestion Proactive des comp�tences

F�rbringer; J.-M.; Glardon R. ; Glardon F.; Pepiot G.
Published in Revue fran�aise de gestion industrielle 24(1), pp. 117-127, 2005. in

Pilot Modules of OPESS - an Online Course on Operations Management, ERP- and SCM Systems

F�rbringer, J.-M.; Glardon, R.; Nienhaus J.; M.Stammbach
Published in Proceedings of the International Conference on Engineering Education, August 18-21, 2002, Manchester, U.K. in

Confidence of simulation results: put a SAM in your model

F�rbringer J.-M., Roulet C.-A.
Published in Energy and Buildings 30, pp. 61-71, 1999 in

Comparison and combination of factorial and Monte-Carlo design in sensitivity analysis

F�rbringer J.-M., Roulet C.-A.
Published in Building and Environment, vol. 30, No. 4, pp. 505-519, 1995. in

Bayesian method for estimating airtightness coefficients from pressurisation measurement

F�rbringer J.-M., Foradini F., Roulet C.-A.
Published in Building and Environment, vol. 29, no 2, pp. 151-157, 1994. in

Technique of sensitivity analysis applied to an air infiltration multizone model

F�rbringer J.-M., Borchiellini R.
Published in ASHRAE trans., vol 99, Pt.2 DE-93-7-1, 1993. in

Study of errors occurring in measurement of leakage distribution in buildings by multifan pressurisation

F�rbringer J.-M., Roulet C.-A.
Published in Building and Environment, vol. 26, no 2, pp.111-120, 1991. in

Infoscience

Teaching & PhD

Courses

Design of experiments (a) - Fall semester

ENG-606(a)

Next course will take place from September 3 to 5 and from October 20 to 22, 2025. The course teaches the acquisition of a methodology of designing experiments for optimal quality of the results and of the number of experiments.

Experimental physics II (for SFU)

UNIL-123

Modeling and design of experiments

PHYS-442

In the academic or industrial world, to optimize a system, it is necessary to establish strategies for the experimental approach. The DOE allows you to choose the best set of measurement points to minimize the variance of the results. The concepts learned are applicable in all areas.