RESUMO
The pharmaceutical industry is continuously overcoming ways to reduce its development times to market and bring new medicines to patients with the highest quality standards faster. This can be achieved with continuous manufacturing and digital design by minimising the amount of active pharmaceutical ingredient (API) needed in drug product design, early project de-risking, and reducing the use of clinical manufacturing equipment, rework, and quality investigations. This paper presents the digital twin of a continuous direct compression line combining first-principles models, residence time distribution (RTD) models obtained from discrete element method (DEM) simulations, science of scale tools and data-driven models from process data in a hybrid flowsheet approach. The flowsheet predicts critical process parameters in the feeders, blender, and tablet press, and critical quality attributes, like tablet composition, weight, thickness, and hardness. It allows the study of the steady state operation in the design space, the impact of operating conditions, material and process parameters, and the dynamic response to disturbances. This is used to de-risk and optimise drug product and process development while reducing the number of experiments. The digital twin also has the potential to guide manufacturing runs and respond to new drug product market approval queries using flowsheet modelling.
