One of the fundamental tenets of process capability is that the process is known to be stable. A stable process is predictable. The distribution of the stable process should not change and should be determined from the new data each time capability is evaluated.
So I would recommend determining the distribution model at the beginning after it is demonstrated to be stable, and then use the same distribution model in the future. I would not use the 'best fit' approach every time at future evaluations.