There are still opportunities to improve chemical library synthesis scheduling. The current implementation of the MILP formulation suffers from its high time complexity and is thus not ideal for large libraries. An approximation of this formulation with lower time complexity could also enable dynamic scheduling to adapt real-time changes during a synthesis campaign. Additionally, both schedulers require reliable time estimate and pre-planned batches, which could be difficult in real library synthesis scenarios, such as those with large uncertainties in yield. This limitation means that operations with a dynamic end point, such as reaction whose end points are determined by color change, cannot be scheduled. These results provide open-source tools for improving synthesis efficiency and, as a standalone module, could be integrated into automated chemistry platforms in the future.