Rivastigmine hydrogen tartrate (RHT) is a pseudo-irreversible inhibitor of cholinesterase and is used for the treatment of Alzheimer's. However, RHT delivery to the brain is limited by the blood-brain barrier (BBB). The purpose of this study was to improve the brain-targeting delivery of RHT by producing and optimizing rivastigmine hydrogen tartrate-loaded tocopherol succinate-based solid lipid nanoparticles (RHT-SLNs). RHT-SLNs were prepared using the microemulsion technique. The impact of significant variables, such as surfactant concentration and drug/lipid ratio, on the size of RHT-SLNs and their drug loading and encapsulation efficiency was analysed using a five-level central composite design (CCD). The minimum size of particles and the maximum efficiency of loading and encapsulation were defined according to models derived from a statistical analysis performed under optimal predicted conditions. The experimental results of optimized RHT-SLNs showed an appropriate particle size of 15.6 nm, 72.4% drug encapsulation efficiency and 6.8% loading efficiency, which revealed a good correlation between the experimental and predicted values. Furthermore, in vitro release studies showed a sustained release of RHT from RHT-SLNs.