Currently, chemical process design and process control are separate disciplines assisting process development at different stages. Design and control decisions are made separately despite the common objective of dissipating the impact of disturbances and uncertainty to ensure robust plant operations. Nowadays, it is broadly accepted that this is not a desirable situation since this approach can lead to processes that are difficult to control. As a consequence, different ways to take controllability issues into account in the process design stage have been developed and reported in the literature during past two decades. This paper presents the state-of-art review of: (i) methods which enable to screen alternative designs for controllability; and (ii) methods which integrate the design of the process and the control system. The paper first focuses on the methodologies available in the open literature to take controllability of process systems into account. The evaluation of open and closed-loop controllability indicator of different process designs allows the comparison and classification of alternatives in terms of operational characteristics. The controllability of alternatives that might have acceptable steady-state economics but poor control performance can be rejected in an early stage of the design. The controllability is quantified using indices like the Relative Gain Array