Reconfigurable Machine Tools (RMTs) have been developed in response to agile flexible manufacturing demands. Current design methodologies for RMTs support modular reconfigurability in which a machine configuration is assembled for a given part. In this paper, on the other hand, reconfigurability relies on redundancy, namely, a desired RMT configuration is obtained through topological reconfiguration by locking/unlocking degrees-of-freedom (dof). Thus, in order to design a Redundant Reconfigurable Machine Tool (RRMT) with all of its dof already included, a new multi–tier optimization based design methodology was developed. The design is formulated for the efficient selection of the best architecture from a set of serial/parallel/hybrid solutions, while considering the redundant reconfigurability effect on performance. The viability of the methodology is demonstrated herein via a design test case of a Parallel Kinematic Mechanism (PKM)-based Redundant Reconfigurable meso-Milling Machine Tool (RRmMT) that can attain high stiffness at the high feed-rate required in meso-milling.