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These results are similar, but not identical, to what seen with the cum sums method, which is reasonable because the methods are different.
The predicted residuals from this model are then analyzed by using the cumulative sums method (PROC CUSUM) (18, 19 ).
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Weighted sum method is adopted in this paper.
The two objectives were combined using adaptive weighted sum method.
We choose the sum method as our test case.
A normalized weighted sum method is applied to unify the objective functions.
A normalized weighted sum method is suggested to unify these objectives.
Normalized weighted sum method was employed as means of selection of optimum mix design.
In this approach, the modified equation can be solved by weight sum method.
Here, a comparison of the proposed method and goal programming with weighted sum method is presented.
The obtained results are compared with other classic optimization methods, like the weighted sum method, for validation.
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