Most of the research literature concerning scheduling concentrates on the static problems, i.e. problems where all input data is known and does not vary over the time. However, the real world scheduling problems are very seldom static. Events like machine failures or work overloads are, in some situations, impossible to predict. Dynamic scheduling is a research field which take into consideration uncertainty and dynamic changes in the scheduling problem. This paper gives an overview of the state of the art in the field of dynamic scheduling.