Risk, Reliability, Quality

Mathematical and statistical modeling are at the core of risk management and reliability theory, and statistics has been a driving factor in the development of modern methods for quality improvement. GMMC research includes
  • Reliability improvement: development of a comprehensive strategy for a company's approach to reliability,
  • Ocean engineering: modeling of the ocean wave climate and properties of individual waves, in particular under extreme conditions, for assessment of metal fatigue in ships and for avoidance of risks of capsizing, and
  • Financial risk management: research aimed at new methods for optimization of financial portfolios, measurement of catastrophic risks and handling of credit risks.
More information may be found under the individual headings:
 
Reliability and quality
Management of economic risks
Spatiotemporal Stochastic Models with Environmental and Marine Applications

Researchers:
Stefano Barone (Quality Sciences, Chalmers)
Anastassia Baxevani (Mathematical Statistics, Chalmers and Göteborg University)
Bo Bergman (Quality Sciences, Chalmers)
Christer Borell (Mathematics, Chalmers and Göteborg University)
Ottmar Cronie (Mathematical Statistics, Chalmers and Göteborg University)
Torben Hasenkamp (Quality Sciences, Chalmers)
Alexander Herbertsson (Economics, Göteborg University)
Pär Johannesson (Fraunhofer-Chalmers Research Centre for industrial Mathematics)
Sara Lorén (Fraunhofer-Chalmers Research Centre for industrial Mathematics)
Åke Lönnqvist (Volvo Car Corporation)
Wengang Mao (Mathematical Statistics, Chalmers and Göteborg University)
Jacques de Maré (Mathematical Statistics, Chalmers and Göteborg University)
Jonas Ringsberg (Ship Design and Engineering, Chalmers)
Holger Rootzén (Mathematical Statistics, Chalmers and Göteborg University)
Igor Rychlik (Mathematical Statistics, Chalmers and Göteborg University)
Thomas Svensson (SP Technical Research Institute)
Aila Särkkä (Mathematical Statistics, Chalmers and Göteborg University)
Sofia Åberg (Mathematical Statistics, Chalmers and Göteborg University)

External members:
Pierre Ailliot (Laboratoire de Mathématiques de Brest, Université de Brest)
Erik Brodin (Merrill Lynch, London)
Carl Lindberg
Valérie Monbet (Laboratoire SABRES, Université de Bretagne Sud)
Krzysztof Podgorski (Mathematical Statistics, Lund Institute of Technology and Lund University)
Jörg Wegener (Mathematical Statistics, Lund Institute of Technology and Lund University)
 

Published: Wed 28 Nov 2012. Modified: Tue 28 May 2019