Stirred reactors play an essential role in preparation of chemical mixtures in the pharmaceutical industry. Hence efficient simulation methods to assess the performance of these reactors are of utmost importance in this field. In this study, an MRF based computational fluid dynamics (CFD) methodology is developed for stirred reactor tanks. The underlying idea is to combine a series of steady state MRF flow fields to predict the distribution of a certain chemical species within the tank, avoiding computationally costly transient simulations.