Reconfigurable Machine Tools (RMTs) have been developed in response to agile flexible manufacturing demands. Current design methodologies fo r RMTs support modular reconfigurability in which a machine configuration is assembled fo r 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 o f its d of already included, a new multi-tier optimization based design methodology was developed. The design is formulated fo r the efficient selection o f the best architecture from a set o f serial!parallel!hybrid solutions, while considering the redundant reconfigurability effect on performance. The viability o f the methodology is demonstrated herein via a design test case o f 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.