Repeated measures refers to observations of a variable which are repeated, usually over time. However, it can refer to any situation where a factor of interest has a special intrinsic structure. Soil depth is an example. Usually, treatment factors are randomised between blocks. They must follow their natural sequence.
Randomisation allocates experimental material randomly to different treatments.
The example below shows the random allocation of 6 treatments to 6 experimental units. If you have Java enabled you can see a different randomisation by clicking on the image. Analysing a summary of the time profile. This module describes a recently developed method, Antedependence modelling , which explicitly models the correlation over time, and then adjusts for this in assessing treatment effects. It should not be seen as superior to the other methods mentioned above, but as an additional technique which may help data understanding.