Abstract

In this paper we explore the Vs-optimality criterion that was proposed in Ginsburg and Ben-Gal (IIE Trans. 2006; 38:445– 461) as a new design-of-experiment (DOE) alphabetic optimality criterion. The Vs-optimality criterion seeks to minimize the variance of the optimal solution of an empirically fitted model. We show that the Vs-optimality citerion is well related to known alphabetic DOE criteria. However, it focuses on an ‘optimization-seeking ’ experimental approach rather than an ‘information-seeking ’ approach, which is often adopted by traditional optimality criteria. We illustrate the differences between these two approaches by a detailed example of a robust design of an RL-circuit. Copyright © 2009 John Wiley