One of the important considerations in plant design is to be able to accommodate changing product demands associated with market variability. Competing markets require a high degree of market adaptation and orientation. Recent developments in process design have focused on establishing optimization-based approaches to support decision making under uncertainty, but all of the current efforts are based on creating customized designs under specified production requirements. This paper introduces an integrated data analysis, robust design optimization approach to generate a set of standardized designs that span the demand space. Two case studies of process design are presented to illustrate the applicability of the proposed approach.