2 BW reports on a cube TIMESOUT intermittently; other reports on cube ok

Hi,
I have Report1 and Report2 against Cube1.
Sometimes it takes about 5 mins for each report to execute after putting in the selection criteria. It did not use to be so last year. We thought it was an issue with partition so the we added new partitions to the cube still same problem. Sometime when we refresh the stats on the cube it gets a better for a few mins.
The main observation is that when it times out and you try a second or third time, you may get lucky and the report will generate data. Sometimes it still times out.
Sometimes it only needs you to refresh the browser and execute again then it works.
Sometimes also, while it is working, as you keep drill down it may also timeout out.
On one employees desk, she got this once:
an error has occurred during loading Please look in the upper frame for further information but there was no other message on upper frame.
She clicked on the Ok button and it continued to give an output.
Sometimes, after drilling down, and after waiting for 5 mins it may work but very slowly.
Any help?
Thanks

Hi,
The output was SQL statements and at the bottom, there was this tree
SELECT STATEMENT ( Estimated Costs = 338 , Estimated #Rows = 1 )
5 72 PX COORDINATOR
5 71 PX SEND QC (RANDOM) :TQ10013
              ( Estim. Costs = 338 , Estim. #Rows = 1 )
              Estim. CPU-Costs = 99,635,949 Estim. IO-Costs = 290
5 70 HASH GROUP BY
                  ( Estim. Costs = 338 , Estim. #Rows = 1 )
                  Estim. CPU-Costs = 99,635,949 Estim. IO-Costs = 290
5 69 PX RECEIVE
                      ( Estim. Costs = 337 , Estim. #Rows = 1 )
                      Estim. CPU-Costs = 97,574,342 Estim. IO-Costs = 290
5 68 PX SEND HASH :TQ10012
                          ( Estim. Costs = 337 , Estim. #Rows = 1 )
                          Estim. CPU-Costs = 97,574,342 Estim. IO-Costs = 290
                                                                                5 67 HASH JOIN
it continues for about 2 pages..
1. How do I identify the which is taking most time / costs?
2. Once this identification is known, how do you address the point you made Accordingly create aggregates / OLAp cache for the same
Thanks

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Hi,
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