The simulated moving bed (SMB) technology is important in various fields, from sugar to enantiomer separation, and operating conditions must be carefully selected and regulated, based on an appropriate process model. Basically, two modelling approaches exist, i.e., true moving bed (TMB) and SMB models. Both approaches show advantages and drawbacks. In this work, an attempt is made to develop a model which retains the simplicity of the original TMB model and its modest computational load, while capturing the essential features of the cyclic steady state reproduced by the SMB model.