This thesis provides a framework of efficient experimental and analytical substructuring methods for the reliable prediction of spindle-holder-tool assembly dynamics. Specifically, the prediction of the tool tip FRFs as well as the tool tip-Spindle Integrated Displacement Sensors transfer functions for a main spindle equipped with contactless displacement sensors. The utility of the proposed substructuring framework for estimating process forces and virtual workpiece quality is also demonstrated.