A simple procedure for assessing the controllability and resiliency of a process flowsheet is presented. The approach relies on a simplified modeling strategy, whereby an approximate linear dynamic model of the process is derived from steady-state flowsheet information. The resulting linear approximation can then be tested using the wealth of available linear controllability and resiliency measures available. In this paper, the procedure is used to screen the disturbance resiliency of alternative heat-integrated distillation column schemes reported in the literature. The results confirm the conclusions obtained by others largely relying on closed-loop simulations using rigorous dynamic models. The overall approach appears to be very promising as a short-cut diagnostic and screening tool, which in theory could be integrated into commercial flowsheeting software.