abstract = "The design of products and processes makes increasing
use of computer simulations for the prediction of its
performance. These computer simulations are
considerably cheaper than their physical equivalent.
Finding the optimal design has therefore become a
possibility. One approach for finding the optimal
design using computer simulations is the meta-model
approach, which approximates the behaviour of the
computer simulation outcome using a limited number of
time-consuming computer simulations. This thesis
contains four main contributions, which are illustrated
by industrial cases. First, a method is presented for
the construction of an experimental design for computer
simulations when the design space is restricted by many
(nonlinear) constraints. The second contribution is a
new approach for the approximation of the simulation
outcome. This approximation method is particularly
useful when the simulation model outcome reacts highly
nonlinear to its inputs. Third, the meta-model based
approach is extended to a robust optimisation
framework. Using this framework, many uncertainties can
be taken into account, including uncertainty on the
simulation model outcome. The fourth main contribution
is the extension of the approach for use in integral
design of many parts of complex systems.",
notes = "In English
Supervisors: Dick den Hertog
Also known as \cite{713f828a47164a19af00e6f5e668a535}",