Additive/semi-additive measure HELP

Question

I have a cube with dimensions TIME, GEOGRAPHY AND SALES_AGENT, built on a fact table that has
TIME_LEAVES,
GEOGRAPHY_LEAVES,
AGENT_LEAVES as FK's
and measures
SOLD_QUANTITY quantity of t-shirts sold
UNIT_PRICE the agent's price for one t-shirt
While SOLD_QUANTITY is fully additive, being SUM aggregated in the cube for all three dimensions, the UNIT_PRICE in totally non additive, so I let aggregation method to none for all dimensions.
Afterwards I made a calculation in JDev BIBeans multiplying UNIT_PRICE * SOLD_QUANTITY to get an income quantum, thinking it'll do something like (UNIT_PRICE1 * SOLD_QUANTITIY1) + (UNIT_PRICE2 * SOLD_QUANTITIY2) + ...
But the results go sky high, showing that it's not calculating the way I wanted it.
Do you have any idea? Is it possible to put a non additive measure with a fully additive one in the same cube? If so, how should I set the aggregation methods.

Answer 1

It's a relational cube.
Here is an example of a couple of rows in the fact table:
TIME GEOGRAPHY AGENT SOLD_QUANTITY UNIT_PRICE
========================================================
JAN04 LONDON AGENT1 240 20
JAN04 YORK AGENT1 123 20
JAN04 LONDON AGENT2 56 25
While sold quantity is fully SUM aggregable by all dimensions, the unit price is not (the cube shows NONE for all aggregations in OEM). Even so, the UNIT_PRICE add's itself on all three dimensions.
So instead of giving me a total income situation per agent of:
AGENT1 (240*20)+(123*20)
AGENT2 (56*25)
it returns something like
AGENT1 (240+123)*(20+20)
AGENT2 56*25