Response Surface Models (RSM) based on data from designed numerical experim
ents are useful as approximation models in Engineering Optimization. Their
construction can be enhanced by the inclusion of design sensitivity data. m
this short paper we discuss two strategies to accomplish this. We compare
both strategies in a numerical example and draw some general conclusions re
garding their practical value.