The user can examine how the results change as conditions change using What-if Study.
Figure 1 What-if Study
The Design Index for i-th trial (
) is calculated as follows:
(1)
1. Objective Functions
For Max type: 
(2)
For Min type: 
(3)
The largest value in each trial among checked Objective Functions is returned.
(4)
is normalized weighting factor which
is obtained by dividing the weighting factor of n-th PI by the sum of all
weighting factors for checked PIs.
(5)
is the difference between the
maximum and minimum values of the n-th PI.
(6)
2. Constraints
For LE (<=): 
(7)
For GE (>=): 
(8)
If the 
is negative, it returns
zero.
is obtained by multiplying the
weighting factor of Constraints by the sum of
all the checked PIs.
(9)
Where,
: PI index
: the number of checked PI
: Trial number
: Weighting factor